You could be the one who changes everything for our 28 million members. Centene is transforming the health of our communities, one person at a time. As a diversified, national organization, you'll have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: The Manager, Healthcare Analytics drives the execution of analytics strategy through the discovery, development, and implementation of leading-edge analytics that answer important business questions. The manager aligns talent and resources to support enterprise and health plan needs by leveraging data to achieve strategic objectives and improve business performance. Lead the planning and execution of enterprise-wide analytics projects and strategic initiatives, translating business goals into actionable solutions Manage development efforts as a liaison with business and technical partners, including managing stakeholder expectations, requirements gathering, testing, deployment and user adoption Prioritize team work, manage customer expectations and relationships, and maintain alignment of deliverables with business needs and strategic objectives Support customer engagement and satisfaction by maintaining effective communication and transparency of work and deliverables with core stakeholders Partner cross-functionally at all levels of the organization and communicate findings and insights to non-technical business partners Independently engage with business leaders to understand market-specific levers and constraints Leverage enterprise reporting tools to rapidly deliver data-driven insights and recommendations Facilitate cross-team project collaboration between state-based health plans and business units, including IT, Finance, Network Development, and Payment Integrity Mentor, manage, and ensure the continuous development of team Education/Experience: Bachelor's degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field. Master's degree preferred. 4+ years of experience in healthcare analytics, large databases, data verification, data management, table creation and indexing, query optimization, utilization of stored procedures, developing complex queries using SQL or other coding languages, and lead or management experience. Project management experience preferred. Working knowledge of SQL/querying languages. Experience with table creation and indexing, query optimization, and utilization of stored procedures. Preferred knowledge of programmatic coding languages such as Python and R. Knowledge of basic statistical, analytical, or data mining techniques including basic data modeling, trend analysis, and root-cause analysis preferred. Experience in change management processes and procedures preferred. Preferred knowledge of modern business intelligence and visualization tools including Microsoft PowerBI. Demonstrated ability mentoring and training of junior analysts in a supervisory or other informal leadership role preferred. Experience in emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and/or ROI evaluation preferred. Familiarity with claims payment, utilization management, provider/vendor contracts, risk adjustment for government sponsored healthcare desired. Pay Range: $105,600.00 - $195,400.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
09/09/2025
Full time
You could be the one who changes everything for our 28 million members. Centene is transforming the health of our communities, one person at a time. As a diversified, national organization, you'll have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: The Manager, Healthcare Analytics drives the execution of analytics strategy through the discovery, development, and implementation of leading-edge analytics that answer important business questions. The manager aligns talent and resources to support enterprise and health plan needs by leveraging data to achieve strategic objectives and improve business performance. Lead the planning and execution of enterprise-wide analytics projects and strategic initiatives, translating business goals into actionable solutions Manage development efforts as a liaison with business and technical partners, including managing stakeholder expectations, requirements gathering, testing, deployment and user adoption Prioritize team work, manage customer expectations and relationships, and maintain alignment of deliverables with business needs and strategic objectives Support customer engagement and satisfaction by maintaining effective communication and transparency of work and deliverables with core stakeholders Partner cross-functionally at all levels of the organization and communicate findings and insights to non-technical business partners Independently engage with business leaders to understand market-specific levers and constraints Leverage enterprise reporting tools to rapidly deliver data-driven insights and recommendations Facilitate cross-team project collaboration between state-based health plans and business units, including IT, Finance, Network Development, and Payment Integrity Mentor, manage, and ensure the continuous development of team Education/Experience: Bachelor's degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field. Master's degree preferred. 4+ years of experience in healthcare analytics, large databases, data verification, data management, table creation and indexing, query optimization, utilization of stored procedures, developing complex queries using SQL or other coding languages, and lead or management experience. Project management experience preferred. Working knowledge of SQL/querying languages. Experience with table creation and indexing, query optimization, and utilization of stored procedures. Preferred knowledge of programmatic coding languages such as Python and R. Knowledge of basic statistical, analytical, or data mining techniques including basic data modeling, trend analysis, and root-cause analysis preferred. Experience in change management processes and procedures preferred. Preferred knowledge of modern business intelligence and visualization tools including Microsoft PowerBI. Demonstrated ability mentoring and training of junior analysts in a supervisory or other informal leadership role preferred. Experience in emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and/or ROI evaluation preferred. Familiarity with claims payment, utilization management, provider/vendor contracts, risk adjustment for government sponsored healthcare desired. Pay Range: $105,600.00 - $195,400.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
You could be the one who changes everything for our 28 million members. Centene is transforming the health of our communities, one person at a time. As a diversified, national organization, you'll have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: The Manager, Healthcare Analytics drives the execution of analytics strategy through the discovery, development, and implementation of leading-edge analytics that answer important business questions. The manager aligns talent and resources to support enterprise and health plan needs by leveraging data to achieve strategic objectives and improve business performance. Lead the planning and execution of enterprise-wide analytics projects and strategic initiatives, translating business goals into actionable solutions Manage development efforts as a liaison with business and technical partners, including managing stakeholder expectations, requirements gathering, testing, deployment and user adoption Prioritize team work, manage customer expectations and relationships, and maintain alignment of deliverables with business needs and strategic objectives Support customer engagement and satisfaction by maintaining effective communication and transparency of work and deliverables with core stakeholders Partner cross-functionally at all levels of the organization and communicate findings and insights to non-technical business partners Independently engage with business leaders to understand market-specific levers and constraints Leverage enterprise reporting tools to rapidly deliver data-driven insights and recommendations Facilitate cross-team project collaboration between state-based health plans and business units, including IT, Finance, Network Development, and Payment Integrity Mentor, manage, and ensure the continuous development of team Education/Experience: Bachelor's degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field. Master's degree preferred. 4+ years of experience in healthcare analytics, large databases, data verification, data management, table creation and indexing, query optimization, utilization of stored procedures, developing complex queries using SQL or other coding languages, and lead or management experience. Project management experience preferred. Working knowledge of SQL/querying languages. Experience with table creation and indexing, query optimization, and utilization of stored procedures. Preferred knowledge of programmatic coding languages such as Python and R. Knowledge of basic statistical, analytical, or data mining techniques including basic data modeling, trend analysis, and root-cause analysis preferred. Experience in change management processes and procedures preferred. Preferred knowledge of modern business intelligence and visualization tools including Microsoft PowerBI. Demonstrated ability mentoring and training of junior analysts in a supervisory or other informal leadership role preferred. Experience in emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and/or ROI evaluation preferred. Familiarity with claims payment, utilization management, provider/vendor contracts, risk adjustment for government sponsored healthcare desired. Pay Range: $105,600.00 - $195,400.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
09/09/2025
Full time
You could be the one who changes everything for our 28 million members. Centene is transforming the health of our communities, one person at a time. As a diversified, national organization, you'll have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: The Manager, Healthcare Analytics drives the execution of analytics strategy through the discovery, development, and implementation of leading-edge analytics that answer important business questions. The manager aligns talent and resources to support enterprise and health plan needs by leveraging data to achieve strategic objectives and improve business performance. Lead the planning and execution of enterprise-wide analytics projects and strategic initiatives, translating business goals into actionable solutions Manage development efforts as a liaison with business and technical partners, including managing stakeholder expectations, requirements gathering, testing, deployment and user adoption Prioritize team work, manage customer expectations and relationships, and maintain alignment of deliverables with business needs and strategic objectives Support customer engagement and satisfaction by maintaining effective communication and transparency of work and deliverables with core stakeholders Partner cross-functionally at all levels of the organization and communicate findings and insights to non-technical business partners Independently engage with business leaders to understand market-specific levers and constraints Leverage enterprise reporting tools to rapidly deliver data-driven insights and recommendations Facilitate cross-team project collaboration between state-based health plans and business units, including IT, Finance, Network Development, and Payment Integrity Mentor, manage, and ensure the continuous development of team Education/Experience: Bachelor's degree in business, economics, statistics, mathematics, actuarial science, public health, health informatics, healthcare administration, finance or related field. Master's degree preferred. 4+ years of experience in healthcare analytics, large databases, data verification, data management, table creation and indexing, query optimization, utilization of stored procedures, developing complex queries using SQL or other coding languages, and lead or management experience. Project management experience preferred. Working knowledge of SQL/querying languages. Experience with table creation and indexing, query optimization, and utilization of stored procedures. Preferred knowledge of programmatic coding languages such as Python and R. Knowledge of basic statistical, analytical, or data mining techniques including basic data modeling, trend analysis, and root-cause analysis preferred. Experience in change management processes and procedures preferred. Preferred knowledge of modern business intelligence and visualization tools including Microsoft PowerBI. Demonstrated ability mentoring and training of junior analysts in a supervisory or other informal leadership role preferred. Experience in emerging trend analysis, financial modeling, claims pricing, contract/network analysis, and/or ROI evaluation preferred. Familiarity with claims payment, utilization management, provider/vendor contracts, risk adjustment for government sponsored healthcare desired. Pay Range: $105,600.00 - $195,400.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
09/09/2025
Full time
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
09/09/2025
Full time
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
The Senior ERP Architect / Technical Lead provides perspective, leadership, and technical expertise in defining solutions that align with UniFirst's business requirements and achieve business goals, leveraging Oracle's Cloud Fusion ERP application with other 3rd party SaaS and on-premises solutions. This Senior ERP Architect / Technical Lead serves as a key role in defining strategy, driving innovation, and supporting solution delivery to ensure successful implementation of Oracle Cloud Fusion (SaaS, PaaS, IaaS Db) capabilities and features. The Senior ERP Architect / Technical Lead forms / supports strategy on all RICE elements, master data management, reporting / business analytics ensuring effectiveness and cohesion UniFirst's application landscape. Responsibilities: Implement total business solutions leveraging Oracle Cloud Fusion applications (SaaS / PaaS) technology to drive simplification and reusability. Facilitate business process reengineering activities with the business units to deploy solutions that conform to the UniFirst Global Template solution. Lead development team (3rd party strategic partner / internal) through the SDLC process - leveraging Agile / Scrum board methodology Supporting all integration solutions (design / build / test) between Oracle Cloud ERP with 3rd party application leveraged in financial process execution, including services payment processing, bank integration lock box, cash management, and credit card processing Support all integration solutions (design / build / test) between Oracle Cloud ERP and legacy / SaaS solutions - leveraging the defined integration / middleware tools platform Partner with strategic UniFirst's strategic implementation partner(s) to lead design, configuration, test, and deployment of new or enhanced functionality, business flows, and/or modules. Ensure test scripts are developed for various levels of testing and/or validation activity Utilize approved change management processes to document and implement change Partner with UniFirst IT peers - Technical Leads for MDM, Integration / Middleware, Conversion, FAW / FDI - Reporting Partner with Unifirst PMO organization to drive timely completion of project and support activities involving Oracle ERP technical / functional solutions Analyze Oracle Cloud Fusion quarterly updates for the defined business process and the associated modules in support of strategically planned patches releases as well as one off patches in support the Oracle applications. Develop end to end process documentation utilizing global standard tool sets that serve as foundation for test scripts, training materials and business communications. Support Process Owner/ Super User / End User training curriculum / requirements as required, including onboarding process defined by HR. Collaborate with other Senior Business Analysts, Technical Systems Analysts, IT Team members, strategic Managed Services partner, ensuring efficient support and change management procedures. Support UniFirst's Oracle Cloud Fusion solution infrastructure requirements in support of all continuous improvement project requirements (Non-PROD, Projects instances) Support BRM team with all defined change management activities involved with the Oracle Cloud Fusion solution. Ensure process documentation is aligned with training materials. Responsible for consistently evaluating new functionality opportunities within Oracle Fusion ERP applications to support business process reengineering efforts Support all Master Data Management (MDM) requirements associated with business unit transitions, and ongoing maintenance ensuring high MDM quality Facilitate ongoing Steady State business processes for deployed solutions and conduct regular global status meetings with key business partners from each business unit / region. Project manage / architect total business solutions to support business process optimization programs In conjunction with business process owners, establish, track, and manage critical KPIs for the defined business processes - supporting both Business Analytics requirements as well as business reporting requirements. Qualifications Education: BS / BA - Information Technology or related functional area Experience: At least seven (7) years of Oracle ERP Fusion Technical Lead Experience as a Technical Lead with Oracle's EBS R12 platform At least five (5) years of experience with R12 Oracle Financials / SCM projects - including an end-to-end ERP project At least five (5) years of experience with Oracle Cloud Fusion (SaaS) solutions - SaaS, PaaS, IaaS Db solutions and Dev Ops platform: OCI Platform OIC toolset APEX / VBCS Experience integrating Oracle Financial / SCM solutions with 3rd party best in class, master data management solutions, business analytics solutions Experience with providing project estimates and managing projects Proficient Project Management capabilities - the ability to define, execute a project plan to achieve project deliverables Complete understanding of the ERP cloud application implementation life cycle process Experience supporting SOX requirements - internal and external auditing Proficient skills in SQL, PL/SQL to support data extract, analysis in the problem resolution process Success Criteria: Develop working relationships with the business and across functional work teams to understand business requirements and guide resolution via system functionality, enhancement and/or business process change Develop working relationships with IT Infrastructure team members and Boundary application technical / development teams Analyze current processes, and implement most cost effective and best practice process changes to accommodate the implementation of the system Strong Cloud Application knowledge base - refreshing, quarterly patching Strong operational knowledge base Ability to translate technical information into terms understandable by non-IT knowledgeable business personnel Excellent project management, time management, and facilitation skills on process design and change management Accountability - become well respected by functional leaders and peers with meeting deliverable, credible resource, and leader relative to functional area of expertise Track record of being a team player - Collaborates with others on work and problem resolution Brings unique skills and perspectives on business needs and requirements Strong communication / facilitation, interpersonal skills Benefits & Perks: 401K with Company Match, Profit Sharing, Health Insurance, Employee Assistance Program, Life Insurance, Paid Time Off, Tuition Reimbursement, 30% Employee Discount, Employee Referral Bonuses. UniFirst is an international leader in garment & Uniform services industry. We currently employ over 14,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine's "Best Companies to Sell For" list and recognized on Forbes magazine's "Platinum 400 - Best Big Companies" list. As an 80-year old company focused on annual growth, there's never been a better time to join our team. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws
09/09/2025
Full time
The Senior ERP Architect / Technical Lead provides perspective, leadership, and technical expertise in defining solutions that align with UniFirst's business requirements and achieve business goals, leveraging Oracle's Cloud Fusion ERP application with other 3rd party SaaS and on-premises solutions. This Senior ERP Architect / Technical Lead serves as a key role in defining strategy, driving innovation, and supporting solution delivery to ensure successful implementation of Oracle Cloud Fusion (SaaS, PaaS, IaaS Db) capabilities and features. The Senior ERP Architect / Technical Lead forms / supports strategy on all RICE elements, master data management, reporting / business analytics ensuring effectiveness and cohesion UniFirst's application landscape. Responsibilities: Implement total business solutions leveraging Oracle Cloud Fusion applications (SaaS / PaaS) technology to drive simplification and reusability. Facilitate business process reengineering activities with the business units to deploy solutions that conform to the UniFirst Global Template solution. Lead development team (3rd party strategic partner / internal) through the SDLC process - leveraging Agile / Scrum board methodology Supporting all integration solutions (design / build / test) between Oracle Cloud ERP with 3rd party application leveraged in financial process execution, including services payment processing, bank integration lock box, cash management, and credit card processing Support all integration solutions (design / build / test) between Oracle Cloud ERP and legacy / SaaS solutions - leveraging the defined integration / middleware tools platform Partner with strategic UniFirst's strategic implementation partner(s) to lead design, configuration, test, and deployment of new or enhanced functionality, business flows, and/or modules. Ensure test scripts are developed for various levels of testing and/or validation activity Utilize approved change management processes to document and implement change Partner with UniFirst IT peers - Technical Leads for MDM, Integration / Middleware, Conversion, FAW / FDI - Reporting Partner with Unifirst PMO organization to drive timely completion of project and support activities involving Oracle ERP technical / functional solutions Analyze Oracle Cloud Fusion quarterly updates for the defined business process and the associated modules in support of strategically planned patches releases as well as one off patches in support the Oracle applications. Develop end to end process documentation utilizing global standard tool sets that serve as foundation for test scripts, training materials and business communications. Support Process Owner/ Super User / End User training curriculum / requirements as required, including onboarding process defined by HR. Collaborate with other Senior Business Analysts, Technical Systems Analysts, IT Team members, strategic Managed Services partner, ensuring efficient support and change management procedures. Support UniFirst's Oracle Cloud Fusion solution infrastructure requirements in support of all continuous improvement project requirements (Non-PROD, Projects instances) Support BRM team with all defined change management activities involved with the Oracle Cloud Fusion solution. Ensure process documentation is aligned with training materials. Responsible for consistently evaluating new functionality opportunities within Oracle Fusion ERP applications to support business process reengineering efforts Support all Master Data Management (MDM) requirements associated with business unit transitions, and ongoing maintenance ensuring high MDM quality Facilitate ongoing Steady State business processes for deployed solutions and conduct regular global status meetings with key business partners from each business unit / region. Project manage / architect total business solutions to support business process optimization programs In conjunction with business process owners, establish, track, and manage critical KPIs for the defined business processes - supporting both Business Analytics requirements as well as business reporting requirements. Qualifications Education: BS / BA - Information Technology or related functional area Experience: At least seven (7) years of Oracle ERP Fusion Technical Lead Experience as a Technical Lead with Oracle's EBS R12 platform At least five (5) years of experience with R12 Oracle Financials / SCM projects - including an end-to-end ERP project At least five (5) years of experience with Oracle Cloud Fusion (SaaS) solutions - SaaS, PaaS, IaaS Db solutions and Dev Ops platform: OCI Platform OIC toolset APEX / VBCS Experience integrating Oracle Financial / SCM solutions with 3rd party best in class, master data management solutions, business analytics solutions Experience with providing project estimates and managing projects Proficient Project Management capabilities - the ability to define, execute a project plan to achieve project deliverables Complete understanding of the ERP cloud application implementation life cycle process Experience supporting SOX requirements - internal and external auditing Proficient skills in SQL, PL/SQL to support data extract, analysis in the problem resolution process Success Criteria: Develop working relationships with the business and across functional work teams to understand business requirements and guide resolution via system functionality, enhancement and/or business process change Develop working relationships with IT Infrastructure team members and Boundary application technical / development teams Analyze current processes, and implement most cost effective and best practice process changes to accommodate the implementation of the system Strong Cloud Application knowledge base - refreshing, quarterly patching Strong operational knowledge base Ability to translate technical information into terms understandable by non-IT knowledgeable business personnel Excellent project management, time management, and facilitation skills on process design and change management Accountability - become well respected by functional leaders and peers with meeting deliverable, credible resource, and leader relative to functional area of expertise Track record of being a team player - Collaborates with others on work and problem resolution Brings unique skills and perspectives on business needs and requirements Strong communication / facilitation, interpersonal skills Benefits & Perks: 401K with Company Match, Profit Sharing, Health Insurance, Employee Assistance Program, Life Insurance, Paid Time Off, Tuition Reimbursement, 30% Employee Discount, Employee Referral Bonuses. UniFirst is an international leader in garment & Uniform services industry. We currently employ over 14,000 team partners who serve 300,000 business customer locations throughout the U.S., Canada, and Europe. We were included in the top 10 of Selling Power magazine's "Best Companies to Sell For" list and recognized on Forbes magazine's "Platinum 400 - Best Big Companies" list. As an 80-year old company focused on annual growth, there's never been a better time to join our team. UniFirst is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
09/09/2025
Full time
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
09/09/2025
Full time
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
Job Information Job Title Actuarial Manager Home Department: Actuary Employment Status: Exempt; Full-time Schedule: 40 hours/week with Flexible Scheduling Opportunities This position offers relocation benefits and flexible hybrid work scheduling. Targeting candidates who are available to work at our home office in Fond du Lac, Wisconsin 1-2 days/week. Visit us at to learn more. Overview Protecting our policyholders' dreams, passions, and livelihoods has a direct impact on the communities we serve. We work towards excellence, conduct ourselves with high integrity, and take our work seriously, but not ourselves. Small Details. Big Difference. Find out how you can make a difference with a career at Society. Society Insurance is seeking an experienced and forward-thinking Actuarial Manager to lead key initiatives across our commercial insurance portfolio. In this role, you'll guide an actuarial team and collaborate closely with claims, underwriting, sales and marketing, accounting, and IT departments to deliver data-driven insights that shape pricing strategy, reserve analysis, and portfolio performance. This is a high-impact opportunity to apply your actuarial expertise in a dynamic environment - helping to drive profitability and sustainable growth across our commercial lines. About the Role Utilizes and verifies data to prepare ratemaking, reserving, and modeling analysis. Assists in the design of data structure necessary for the monitoring and reporting of results. Ensures templates used for ratemaking, reserving, and modeling are correct as well as final products. Maintains clear and concise documentation of ratemaking, reserving, and modeling methods and activities. Provides analysis of ratemaking, reserving, modeling, and special projects to other departments and the Vice President-Chief Actuary. Ensures quality and timeliness of assigned projects for the team. Maintains continuing education requirements per Casualty Actuarial Society guidelines. Supervises the Actuarial Associate(s), Actuarial Analyst(s), and Intern(s). Maintains staff by interviewing, selecting, and training employees. Monitors and mentors staff in development of their assigned project deliverables; and appraises work results. About Yo u You enjoy coaching and developing others. You excel at communicating in a concise, direct, and unambiguous way. You empower and motivate others to take greater responsibility. You are results driven and makes decisions that are based on sound evidence. You are analytically focused and enjoy making fact-based decisions. You are organized and easily assess data quality and can organize it coherently. You enjoy taking a systematic approach to making process improvements. What it Will Take Bachelor's degree in Math, Statistics, Economics, or related field. Associate of the Casualty Actuarial Society (ACAS); and actively pursuing Fellowship (FCAS). At least 6 years of ratemaking experience. Demonstration of management experience showing a progressive increase in responsibilities. Communication skills to seek out details, express ideas, and present solutions to business and technical audiences. Knowledge of the property and casualty insurance industry and related business processes. Competency with desktop applications. 10 years of experience in property/casualty insurance (8 years in actuarial) preferred. Experience in commercial-lines ratemaking and reserving preferred. Proficient in SQL preferred. What Society Can Offer Comprehensive Benefits Package: Salary with bonus plan; health, dental, life, and vision insurance Retirement: Traditional or Roth 401(k) Defined Contribution Plan PLUS Profit-Sharing Plan Work-Life Balance: Company-paid holidays; flexible scheduling; PTO; telecommuting options Education: Career Coaching; company-paid courses; student loan and tuition reimbursement Community: Charitable Match; paid volunteer time; team sponsorships Wellness: Employee Assistance Program; wellness initiatives/rewards; health coaching; and more Society Insurance prohibits discrimination and harassment of any type against applicants and employees on the basis of race, color, religion, sex, national origin, age, handicap, disability, genetics, veteran status or military service, marital status or sexual orientation, gender identity or expression, or any other characteristic or status protected by federal, state or local laws. Society Insurance also provides reasonable accommodations to qualified individuals with disabilities in accordance with the requirements of the Americans with Disabilities Act and applicable state and local laws. Society Insurance is a drug-free workplace. PI530e2919dc24-6945
09/09/2025
Full time
Job Information Job Title Actuarial Manager Home Department: Actuary Employment Status: Exempt; Full-time Schedule: 40 hours/week with Flexible Scheduling Opportunities This position offers relocation benefits and flexible hybrid work scheduling. Targeting candidates who are available to work at our home office in Fond du Lac, Wisconsin 1-2 days/week. Visit us at to learn more. Overview Protecting our policyholders' dreams, passions, and livelihoods has a direct impact on the communities we serve. We work towards excellence, conduct ourselves with high integrity, and take our work seriously, but not ourselves. Small Details. Big Difference. Find out how you can make a difference with a career at Society. Society Insurance is seeking an experienced and forward-thinking Actuarial Manager to lead key initiatives across our commercial insurance portfolio. In this role, you'll guide an actuarial team and collaborate closely with claims, underwriting, sales and marketing, accounting, and IT departments to deliver data-driven insights that shape pricing strategy, reserve analysis, and portfolio performance. This is a high-impact opportunity to apply your actuarial expertise in a dynamic environment - helping to drive profitability and sustainable growth across our commercial lines. About the Role Utilizes and verifies data to prepare ratemaking, reserving, and modeling analysis. Assists in the design of data structure necessary for the monitoring and reporting of results. Ensures templates used for ratemaking, reserving, and modeling are correct as well as final products. Maintains clear and concise documentation of ratemaking, reserving, and modeling methods and activities. Provides analysis of ratemaking, reserving, modeling, and special projects to other departments and the Vice President-Chief Actuary. Ensures quality and timeliness of assigned projects for the team. Maintains continuing education requirements per Casualty Actuarial Society guidelines. Supervises the Actuarial Associate(s), Actuarial Analyst(s), and Intern(s). Maintains staff by interviewing, selecting, and training employees. Monitors and mentors staff in development of their assigned project deliverables; and appraises work results. About Yo u You enjoy coaching and developing others. You excel at communicating in a concise, direct, and unambiguous way. You empower and motivate others to take greater responsibility. You are results driven and makes decisions that are based on sound evidence. You are analytically focused and enjoy making fact-based decisions. You are organized and easily assess data quality and can organize it coherently. You enjoy taking a systematic approach to making process improvements. What it Will Take Bachelor's degree in Math, Statistics, Economics, or related field. Associate of the Casualty Actuarial Society (ACAS); and actively pursuing Fellowship (FCAS). At least 6 years of ratemaking experience. Demonstration of management experience showing a progressive increase in responsibilities. Communication skills to seek out details, express ideas, and present solutions to business and technical audiences. Knowledge of the property and casualty insurance industry and related business processes. Competency with desktop applications. 10 years of experience in property/casualty insurance (8 years in actuarial) preferred. Experience in commercial-lines ratemaking and reserving preferred. Proficient in SQL preferred. What Society Can Offer Comprehensive Benefits Package: Salary with bonus plan; health, dental, life, and vision insurance Retirement: Traditional or Roth 401(k) Defined Contribution Plan PLUS Profit-Sharing Plan Work-Life Balance: Company-paid holidays; flexible scheduling; PTO; telecommuting options Education: Career Coaching; company-paid courses; student loan and tuition reimbursement Community: Charitable Match; paid volunteer time; team sponsorships Wellness: Employee Assistance Program; wellness initiatives/rewards; health coaching; and more Society Insurance prohibits discrimination and harassment of any type against applicants and employees on the basis of race, color, religion, sex, national origin, age, handicap, disability, genetics, veteran status or military service, marital status or sexual orientation, gender identity or expression, or any other characteristic or status protected by federal, state or local laws. Society Insurance also provides reasonable accommodations to qualified individuals with disabilities in accordance with the requirements of the Americans with Disabilities Act and applicable state and local laws. Society Insurance is a drug-free workplace. PI530e2919dc24-6945
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
09/09/2025
Full time
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
09/09/2025
Full time
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
09/09/2025
Full time
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
09/09/2025
Full time
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
09/09/2025
Full time
You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. Position Purpose: This role will support the Threat Infrastructure Security tools in the Centene environment. This role's focus will be Data engineering/science for a Security Data Lake and automation projects. This role includes: develop strategy, execute design and implement efficient data pipelines to ensure a smooth flow of information into the Security Data Lake. Data Storage and Management: Store and manage the data the ingested data. This involves optimizing data schemas and ensuring data quality and integrity. ETL (Extract, Transform, Load) Processes: Design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts. Code Review and Mentorship: Spend time reviewing code submissions from team members, providing feedback, and mentoring junior developers or team members on best practices and design patterns. Operational support: Perform operational work including troubleshooting and On-call rotation. Data Collection and Cleaning: Acquiring data from various sources and ensuring it is accurate, complete, and ready for analysis. Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings to stakeholders. Collaboration: Working closely with cross-functional teams, including business analysts, engineers, and other stakeholders, to understand their needs and deliver data-driven insights. Testing: Designing and conducting A/B tests to validate hypotheses or test the effectiveness of various strategies. Data Strategy: Providing strategic advice on how to leverage data for business growth and decision-making, including identifying new data opportunities. Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. Technical Skills: Proficiency in Databricks platform Advanced data pipeline design and development Data quality and governance Machine learning model development and maintenance Data integration processes Data security and privacy regulations Data visualization tools development Data warehouse and data mart design and development ETL (Extract, Transform, Load) processes. Data governance and compliance Proficiency in SQL and Python Knowledge of Big Data technologies (Hadoop, Spark) Cloud computing (AWS, Azure, GCP) Data modeling and architecture Advanced analytics and predictive modeling Knowledge of data privacy laws and regulations Proficiency in BI tools (Tableau, PowerBI) Strong problem-solving skills Excellent communication and presentation skills Project management and team leadership. Soft Skills: Intermediate - Seeks to acquire knowledge in area of specialty Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions Intermediate - Ability to work independently Intermediate - Demonstrated analytical skills Intermediate - Demonstrated project management skills Intermediate - Demonstrates a high level of accuracy, even under pressure Intermediate - Demonstrates excellent judgment and decision making skills Intermediate - Ability to communicate and make recommendations to upper management Intermediate - Ability to drive multiple projects to successful completion Intermediate - Possesses technical aptitude License/Certification: CompTIA Security+ Certification, CISSP Certified Information Systems Security Professional, and/or Splunk Certifications preferred Databrick Certification, or Python Certifications (such as from Python Institute or Microsoft), or Professional Data Engineer (Google Cloud) or AWS Certified Big Data preferred Pay Range: $100,900.00 - $186,800.00 per year Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility. Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act
Senior Data Management Professional - Data Product Owner - Data AI Location New York Business Area Data Ref # Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients. Our Team: The Bloomberg Data AI group brings innovative AI technologies into Bloomberg's Data organization while supplying deep financial domain expertise to the development of AI-powered products. Our team provides evaluation and annotation frameworks. We partner closely with team members to align AI innovation with Bloomberg's strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloomberg's offerings. The Role: As a Data Product Owner, you will be responsible for providing subject matter expertise in fixed income data and annotation program management, to contribute to the development of generative AI systems. You will play a crucial role, in collaboration with product and engineering teams to implement strategies to gather and scale evaluations and annotations to drive continuous improvements for these systems. You will be accountable for the overall value delivery of the fixed income annotated datasets - ensuring it meets the current and emerging needs of Bloomberg clients, aligns with internal product goals, and adheres to high standards of quality, transparency, and usability. We'll trust you to: Define the evaluation strategy for conversational systems focusing on the fixed income domain, ensuring alignment with market-specific nuances, end-users expectations and Bloomberg domain-specific strategy. Own the end-to-end vision and roadmap for collecting evaluation datasets fit for the purpose of credit analysts workflows. Drive discovery and prioritization efforts to improve data robustness, annotation accuracy, and overall quality across datasets used for model evaluation and enhancements. Leverage data analytics and insights to uncover trends, identify gaps, and inform annotation methodologies that enhance model performance and user trust. Tackle complex annotation challenges with thoughtful solutions while enforcing strong data governance and integrity standards. Stay up-to-date with industry trends and standard methodologies in generative AI, evaluation, data annotation and fixed income data management. Collaborate cross-functionally with Product, Engineering, Data and other domain experts to steer a results-driven and scalable evaluation data strategy. You'll need to have: 4+ years of recent work experience in the financial services industry, focusing on Fixed Income Strong understanding of credit analyst workflows and data needs Demonstrated experience in data management concepts, for example in improving data accuracy, completeness or timeliness A proven track record of successful project management skills and ability to prioritize tasks accordingly Proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product Customer-focused approach and the ability to interact with a diverse range of clients Proven ability to take a logical approach and apply critical thinking skills in order to tackle problems We'd Love to See: Knowledge of Python and SQL DAMA CDMP or DCAM certifications Keen interest and familiarity with generative AI frameworks Experience in semantic structures or data modeling Experience using data visualization tools such as Tableau, QlikSense, or Splunk Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
09/05/2025
Full time
Senior Data Management Professional - Data Product Owner - Data AI Location New York Business Area Data Ref # Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients. Our Team: The Bloomberg Data AI group brings innovative AI technologies into Bloomberg's Data organization while supplying deep financial domain expertise to the development of AI-powered products. Our team provides evaluation and annotation frameworks. We partner closely with team members to align AI innovation with Bloomberg's strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloomberg's offerings. The Role: As a Data Product Owner, you will be responsible for providing subject matter expertise in fixed income data and annotation program management, to contribute to the development of generative AI systems. You will play a crucial role, in collaboration with product and engineering teams to implement strategies to gather and scale evaluations and annotations to drive continuous improvements for these systems. You will be accountable for the overall value delivery of the fixed income annotated datasets - ensuring it meets the current and emerging needs of Bloomberg clients, aligns with internal product goals, and adheres to high standards of quality, transparency, and usability. We'll trust you to: Define the evaluation strategy for conversational systems focusing on the fixed income domain, ensuring alignment with market-specific nuances, end-users expectations and Bloomberg domain-specific strategy. Own the end-to-end vision and roadmap for collecting evaluation datasets fit for the purpose of credit analysts workflows. Drive discovery and prioritization efforts to improve data robustness, annotation accuracy, and overall quality across datasets used for model evaluation and enhancements. Leverage data analytics and insights to uncover trends, identify gaps, and inform annotation methodologies that enhance model performance and user trust. Tackle complex annotation challenges with thoughtful solutions while enforcing strong data governance and integrity standards. Stay up-to-date with industry trends and standard methodologies in generative AI, evaluation, data annotation and fixed income data management. Collaborate cross-functionally with Product, Engineering, Data and other domain experts to steer a results-driven and scalable evaluation data strategy. You'll need to have: 4+ years of recent work experience in the financial services industry, focusing on Fixed Income Strong understanding of credit analyst workflows and data needs Demonstrated experience in data management concepts, for example in improving data accuracy, completeness or timeliness A proven track record of successful project management skills and ability to prioritize tasks accordingly Proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product Customer-focused approach and the ability to interact with a diverse range of clients Proven ability to take a logical approach and apply critical thinking skills in order to tackle problems We'd Love to See: Knowledge of Python and SQL DAMA CDMP or DCAM certifications Keen interest and familiarity with generative AI frameworks Experience in semantic structures or data modeling Experience using data visualization tools such as Tableau, QlikSense, or Splunk Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
A client of Innova Solutions is immediately hiring a Business Specialist Position type: Contract Duration: 24 Months Location: San Antonio Texas As a Business Specialist, you will: Develop and institutionalize strategic planning and execution frameworks. Design performance monitoring systems and enterprise KPIs. Enable data-driven decision-making through custom-built tools and dashboards using Microsoft Power Platform (Power Apps, Power BI) and other enterprise technologies. Build and maintain digital tools and dashboards to support performance tracking and reporting. Collaborate with cross-functional teams to ensure alignment between strategy, operations, and technology. Translate complex business needs into scalable digital solutions. The ideal candidate will have: Experience in enterprise strategy, performance management, or business transformation. Proficiency in Power BI, Power Apps, and Excel-based modeling. Familiarity with enterprise architecture and digital experience platforms. Qualified candidates should APPLY NOW for immediate consideration! Please hit APPLY to provide the required information, and we will be back in touch as soon as possible. We are currently interviewing to fill this and other similar positions. If this role is not a fit for you, we do offer a referral bonus program for referrals that we successfully place with our clients, subject to program guidelines. ASK ME HOW. Thank you! Kuldeep Kansana Lead - Recruitment (+1) PAY RANGE AND BENEFITS: Pay Range : Pay range offered to a successful candidate will be based on several factors, including the candidate's education, work experience, work location, specific job duties, certifications, etc. Benefits: Innova Solutions offers benefits( based on eligibility) that include the following: Medical & pharmacy coverage, Dental/vision insurance, 401(k), Health saving account (HSA) and Flexible spending account (FSA), Life Insurance, Pet Insurance, Short term and Long term Disability, Accident & Critical illness coverage, Pre-paid legal & ID theft protection, Sick time, and other types of paid leaves (as required by law), Employee Assistance Program (EAP). ABOUT INNOVA SOLUTIONS: Founded in 1998 and headquartered in Atlanta, Georgia, Innova Solutions employs approximately 50,000 professionals worldwide and reports an annual revenue approaching $3 Billion. Through our global delivery centers across North America, Asia, and Europe, we deliver strategic technology and business transformation solutions to our clients, enabling them to operate as leaders within their fields. Recent Recognitions: Named One of America's Best Employers for New Grads by Forbes (2024 Named One of the Best Companies to Work for by U.S. News & World Report (Private Companies List, ) One of the Largest IT Staffing Firms in the US - Ranked by Staffing Industry Analysts (SIA, 2024) One of the Largest Staffing Firms in the US - Ranked by Staffing Industry Analysts (SIA, 2024; includes Innova Solutions, Volt, & HireGenics) Named One of the Top Ten Private Companies in Atlanta by the Atlanta Business Chronicle (2023) One of the Largest Certified Minority Business Enterprises (MBEs) in the United States (NMSDC, 2024) AWS Advanced Tier Services Partner with 100+ certifications Website: Innova Solutions offers a referral bonus for qualified Ambassadors who refer eligible referrals. Submit referrals at and earn $250-$1,000 per referral. Innova Solutions is an Equal Opportunity Employer and prohibits any kind of unlawful discrimination and harassment. Innova Solutions is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment on the basis of race, color, religion or belief, national origin, citizenship, social or ethnic origin, sex, age, physical or mental disability, veteran status, marital status, domestic partner status, sexual orientation, or any other status protected by the statutes, rules, and regulations in the locations where it operates. If you are an individual with a disability and need a reasonable accommodation to assist with your job search or application for employment, please contact us at or . Please indicate the specifics of the assistance needed. Innova Solutions encourages all interested and qualified candidates to apply for employment opportunities. Innova Solutions (HireGenics/Volt) does not discriminate against applicants based on citizenship status, immigration status, or national origin, in accordance with 8 U.S.C. 1324b. The company will consider for employment qualified applicants with arrest and conviction records in a manner that complies with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable laws.
09/05/2025
Full time
A client of Innova Solutions is immediately hiring a Business Specialist Position type: Contract Duration: 24 Months Location: San Antonio Texas As a Business Specialist, you will: Develop and institutionalize strategic planning and execution frameworks. Design performance monitoring systems and enterprise KPIs. Enable data-driven decision-making through custom-built tools and dashboards using Microsoft Power Platform (Power Apps, Power BI) and other enterprise technologies. Build and maintain digital tools and dashboards to support performance tracking and reporting. Collaborate with cross-functional teams to ensure alignment between strategy, operations, and technology. Translate complex business needs into scalable digital solutions. The ideal candidate will have: Experience in enterprise strategy, performance management, or business transformation. Proficiency in Power BI, Power Apps, and Excel-based modeling. Familiarity with enterprise architecture and digital experience platforms. Qualified candidates should APPLY NOW for immediate consideration! Please hit APPLY to provide the required information, and we will be back in touch as soon as possible. We are currently interviewing to fill this and other similar positions. If this role is not a fit for you, we do offer a referral bonus program for referrals that we successfully place with our clients, subject to program guidelines. ASK ME HOW. Thank you! Kuldeep Kansana Lead - Recruitment (+1) PAY RANGE AND BENEFITS: Pay Range : Pay range offered to a successful candidate will be based on several factors, including the candidate's education, work experience, work location, specific job duties, certifications, etc. Benefits: Innova Solutions offers benefits( based on eligibility) that include the following: Medical & pharmacy coverage, Dental/vision insurance, 401(k), Health saving account (HSA) and Flexible spending account (FSA), Life Insurance, Pet Insurance, Short term and Long term Disability, Accident & Critical illness coverage, Pre-paid legal & ID theft protection, Sick time, and other types of paid leaves (as required by law), Employee Assistance Program (EAP). ABOUT INNOVA SOLUTIONS: Founded in 1998 and headquartered in Atlanta, Georgia, Innova Solutions employs approximately 50,000 professionals worldwide and reports an annual revenue approaching $3 Billion. Through our global delivery centers across North America, Asia, and Europe, we deliver strategic technology and business transformation solutions to our clients, enabling them to operate as leaders within their fields. Recent Recognitions: Named One of America's Best Employers for New Grads by Forbes (2024 Named One of the Best Companies to Work for by U.S. News & World Report (Private Companies List, ) One of the Largest IT Staffing Firms in the US - Ranked by Staffing Industry Analysts (SIA, 2024) One of the Largest Staffing Firms in the US - Ranked by Staffing Industry Analysts (SIA, 2024; includes Innova Solutions, Volt, & HireGenics) Named One of the Top Ten Private Companies in Atlanta by the Atlanta Business Chronicle (2023) One of the Largest Certified Minority Business Enterprises (MBEs) in the United States (NMSDC, 2024) AWS Advanced Tier Services Partner with 100+ certifications Website: Innova Solutions offers a referral bonus for qualified Ambassadors who refer eligible referrals. Submit referrals at and earn $250-$1,000 per referral. Innova Solutions is an Equal Opportunity Employer and prohibits any kind of unlawful discrimination and harassment. Innova Solutions is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment on the basis of race, color, religion or belief, national origin, citizenship, social or ethnic origin, sex, age, physical or mental disability, veteran status, marital status, domestic partner status, sexual orientation, or any other status protected by the statutes, rules, and regulations in the locations where it operates. If you are an individual with a disability and need a reasonable accommodation to assist with your job search or application for employment, please contact us at or . Please indicate the specifics of the assistance needed. Innova Solutions encourages all interested and qualified candidates to apply for employment opportunities. Innova Solutions (HireGenics/Volt) does not discriminate against applicants based on citizenship status, immigration status, or national origin, in accordance with 8 U.S.C. 1324b. The company will consider for employment qualified applicants with arrest and conviction records in a manner that complies with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable laws.
Technical Product Manager - Metadata Platform Infrastructure Location New York Business Area Engineering and CTO Ref # Description & Requirements Who we are / The Team The Metadata Strategy team, part of Bloomberg's CTO Office, defines and delivers the long-term strategy for how semantic data and metadata are structured, managed, and leveraged across the company. Our mission is to build scalable, intelligent systems that make data more meaningful, discoverable, and interoperable across Bloomberg's diverse products and platforms. Bloomberg's Metadata Platform is a state-of-the-art system that empowers the creation, management, governance, and distribution of semantic models and metadata across the enterprise. It provides robust capabilities for model-driven metadata enrichment and intelligent distribution pipelines, serving as a foundational layer for knowledge representation and interoperability within Bloomberg's vast and complex data ecosystem. As a centralized infrastructure, the platform ensures consistency, alignment, and semantic integrity of metadata across all lines of business, internal platforms and a wide array of client-facing workflows. By linking disparate data silos across domains, it unlocks cross-domain querying, advanced analytics, and enhances search and discovery experiences for both internal users and external clients. The platform plays a strategic role in unifying Bloomberg's data landscape, enabling knowledge-driven applications, semantic interoperability, and streamlined integration across heterogeneous datasets. The Technical Product Owner will play a key role in shaping the future of this platform, working at the intersection of semantic technologies, product strategy, and large-scale data operations. About the Role Bloomberg is seeking a highly motivated and technically astute Technical Product Owner to lead the development and evolution of our metadata infrastructure. This role is responsible for defining and driving the roadmap for core components that enable knowledge representation and delivery at scale-including data ingestion pipelines, enrichment and inference frameworks, distribution mechanisms, and (semantic) storage systems. You will collaborate with engineering, data analysts, ontology developers, and business stakeholders to translate business needs into robust, scalable metadata solutions. You will be accountable for product strategy, technical planning, prioritization, and delivery oversight. We'll trust you to Define and execute the long term product strategy, vision and roadmap for the metadata platform infrastructure. Align technical requirements of the platform with enterprise data strategy, FAIR principles, and AI/ML enablement goals. Lead the design and development of modular, reusable data ingestion pipelines for various data sources. Partner with engineering to deliver scalable services for automated data onboarding, enrichment, profiling, and validation, supported by federation, caching, and data materialization for optimal performance. Implement governance capabilities to ensure metadata provenance, versioning, lineage, and compliance. Work cross-functionally to align platform features with developer needs, downstream consumer requirements, and enterprise strategy. Maintain a clear and prioritized backlog, write user stories, define acceptance criteria, and coordinate delivery in agile teams. Communicate platform vision, progress, and technical tradeoffs to stakeholders at all levels-from engineers to executives. Scope technical initiatives, balancing quick wins vs. long-term architectural investment. Identify key use cases across domains and translate them into functional requirements for data ingestion, enrichment, distribution, and storage layers. Drive architectural decisions alongside technical leads, ensuring reusability and modularity across systems. Evaluate and select tools, platforms, and frameworks for data infrastructure along with the engineering team Gather and prioritize requirements from diverse stakeholders including ontology engineers, data owners, AI teams, and product teams. Facilitate alignment between technical engineering teams and business domain experts to ensure our metadata is fit for purpose. You'll need to have 8+ years of experience in a technical product management role A passion for providing reliable, scalable, and easy-to-use infrastructure A product-driven focus, with product management, organizational, and communication skills to effectively coordinate and work with Engineers, other Product Managers, and Senior Management Familiarity with agile practices and backlog grooming across cross-functional engineering teams. A strong technical or Engineering background and broad technical fluency A track record of shaping business strategy and roadmaps for technical products A degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience Breadth of knowledge and familiarity with semantic metadata, enterprise data/metadata platforms and industry best practices and toolings We'd love to see Applied experience with semantic technologies, W3C standards, A good understanding of financial markets , instruments and products Experience with system integration Experience designing and working with data onboarding pipelines Open source involvement or community presence Evaluate and champion the use of ontologies, linked data, and graph technologies to meet strategic goals. Experience building tools and workflows which support Financial products and services. Salary Range = 140000 - 295000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
09/01/2025
Full time
Technical Product Manager - Metadata Platform Infrastructure Location New York Business Area Engineering and CTO Ref # Description & Requirements Who we are / The Team The Metadata Strategy team, part of Bloomberg's CTO Office, defines and delivers the long-term strategy for how semantic data and metadata are structured, managed, and leveraged across the company. Our mission is to build scalable, intelligent systems that make data more meaningful, discoverable, and interoperable across Bloomberg's diverse products and platforms. Bloomberg's Metadata Platform is a state-of-the-art system that empowers the creation, management, governance, and distribution of semantic models and metadata across the enterprise. It provides robust capabilities for model-driven metadata enrichment and intelligent distribution pipelines, serving as a foundational layer for knowledge representation and interoperability within Bloomberg's vast and complex data ecosystem. As a centralized infrastructure, the platform ensures consistency, alignment, and semantic integrity of metadata across all lines of business, internal platforms and a wide array of client-facing workflows. By linking disparate data silos across domains, it unlocks cross-domain querying, advanced analytics, and enhances search and discovery experiences for both internal users and external clients. The platform plays a strategic role in unifying Bloomberg's data landscape, enabling knowledge-driven applications, semantic interoperability, and streamlined integration across heterogeneous datasets. The Technical Product Owner will play a key role in shaping the future of this platform, working at the intersection of semantic technologies, product strategy, and large-scale data operations. About the Role Bloomberg is seeking a highly motivated and technically astute Technical Product Owner to lead the development and evolution of our metadata infrastructure. This role is responsible for defining and driving the roadmap for core components that enable knowledge representation and delivery at scale-including data ingestion pipelines, enrichment and inference frameworks, distribution mechanisms, and (semantic) storage systems. You will collaborate with engineering, data analysts, ontology developers, and business stakeholders to translate business needs into robust, scalable metadata solutions. You will be accountable for product strategy, technical planning, prioritization, and delivery oversight. We'll trust you to Define and execute the long term product strategy, vision and roadmap for the metadata platform infrastructure. Align technical requirements of the platform with enterprise data strategy, FAIR principles, and AI/ML enablement goals. Lead the design and development of modular, reusable data ingestion pipelines for various data sources. Partner with engineering to deliver scalable services for automated data onboarding, enrichment, profiling, and validation, supported by federation, caching, and data materialization for optimal performance. Implement governance capabilities to ensure metadata provenance, versioning, lineage, and compliance. Work cross-functionally to align platform features with developer needs, downstream consumer requirements, and enterprise strategy. Maintain a clear and prioritized backlog, write user stories, define acceptance criteria, and coordinate delivery in agile teams. Communicate platform vision, progress, and technical tradeoffs to stakeholders at all levels-from engineers to executives. Scope technical initiatives, balancing quick wins vs. long-term architectural investment. Identify key use cases across domains and translate them into functional requirements for data ingestion, enrichment, distribution, and storage layers. Drive architectural decisions alongside technical leads, ensuring reusability and modularity across systems. Evaluate and select tools, platforms, and frameworks for data infrastructure along with the engineering team Gather and prioritize requirements from diverse stakeholders including ontology engineers, data owners, AI teams, and product teams. Facilitate alignment between technical engineering teams and business domain experts to ensure our metadata is fit for purpose. You'll need to have 8+ years of experience in a technical product management role A passion for providing reliable, scalable, and easy-to-use infrastructure A product-driven focus, with product management, organizational, and communication skills to effectively coordinate and work with Engineers, other Product Managers, and Senior Management Familiarity with agile practices and backlog grooming across cross-functional engineering teams. A strong technical or Engineering background and broad technical fluency A track record of shaping business strategy and roadmaps for technical products A degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience Breadth of knowledge and familiarity with semantic metadata, enterprise data/metadata platforms and industry best practices and toolings We'd love to see Applied experience with semantic technologies, W3C standards, A good understanding of financial markets , instruments and products Experience with system integration Experience designing and working with data onboarding pipelines Open source involvement or community presence Evaluate and champion the use of ontologies, linked data, and graph technologies to meet strategic goals. Experience building tools and workflows which support Financial products and services. Salary Range = 140000 - 295000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
BloombergNEF Gas Analyst Location Houston Business Area Research Ref # Description & Requirements BloombergNEF (BNEF) is seeking a talented, highly motivated individual to join our Global Gas team. You're someone who is passionate about the gas and LNG industry and the role it plays in the energy transition. You have strong analytical skills, and a particular aptitude for cutting through the noise to understand the complex and nuanced dynamics gas plays in different sectors and regions. You will be working as part of a high-powered team of gas and LNG analysts across Beijing, Delhi, London, New York, Singapore, and Tokyo. BNEF is a strategic research provider covering global commodity markets and the ground-breaking technologies driving the transition to a low-carbon economy. We help our clients gain a clear perspective on the trends in technology, finance, policy and economics that are driving transformation across the energy value chain. Our expert coverage assesses pathways for the power, transport, industry, buildings and agriculture sectors to adapt to the energy transition. We help commodity trading, corporate strategy, finance and policy professionals navigate change and generate opportunities. BNEF Team Ethos: To succeed at BNEF we need people who can work in an independent manner and show initiative to develop their own viewpoints, yet be collaborative with colleagues. We don't rely on the status quo; we look for innovative yet pragmatic thinking that turns big ideas into real insights and impact. Working at BNEF sometimes feels chaotic; we need teams that are both dynamic and structured to generate the outstanding perspectives our clients really value. Our teams are diverse, creative, focused, and fun! We will trust you to: Deliver and present strategic research and insights on the gas industry that resonates with BNEF's global clients along the gas value chain. Be regarded as a thought leader and subject matter expert on the topic of gas and the energy transition. Be a focal for developing an integrated view and compelling narrative for the future outlook of gas together with our sector, energy economics and modeling teams. Conduct in-depth analysis on the drivers that underpin gas/LNG demand growth in various markets, working alongside regional gas and country transitions teams. Collaborate within the commodities, energy and environmental markets group to critically analyze cross-cutting themes - such as investments, trade, upstream supply and pricing dynamics. Strategize and execute high-value client engagement plans to drive business growth. You will need to have: At least 7 years of work experience in the energy industry, of which at least 3 covering the oil and gas sector or gas and power markets, specifically. Substantial experience in articulating insights in writing and verbally to a range of audiences, including senior business executives (English fluency). Demonstrated ability to think critically and "connect the dots" between diverse topics, including policy, economics, finance, markets and technology. Excellent quantitative skills, and comfort in working with large datasets and complex models. Time management skills and confidence in balancing work on multiple projects at once. A strong motivation to collaborate with other teams, build an industry network and deliver top-quality client service. We would love to see: Previous role in energy research, energy systems modelling or energy market analytics. Prior experience in project management, mentorship and development of others. Business proficiency in another language. Salary Range = 145000 - 165000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
08/31/2025
Full time
BloombergNEF Gas Analyst Location Houston Business Area Research Ref # Description & Requirements BloombergNEF (BNEF) is seeking a talented, highly motivated individual to join our Global Gas team. You're someone who is passionate about the gas and LNG industry and the role it plays in the energy transition. You have strong analytical skills, and a particular aptitude for cutting through the noise to understand the complex and nuanced dynamics gas plays in different sectors and regions. You will be working as part of a high-powered team of gas and LNG analysts across Beijing, Delhi, London, New York, Singapore, and Tokyo. BNEF is a strategic research provider covering global commodity markets and the ground-breaking technologies driving the transition to a low-carbon economy. We help our clients gain a clear perspective on the trends in technology, finance, policy and economics that are driving transformation across the energy value chain. Our expert coverage assesses pathways for the power, transport, industry, buildings and agriculture sectors to adapt to the energy transition. We help commodity trading, corporate strategy, finance and policy professionals navigate change and generate opportunities. BNEF Team Ethos: To succeed at BNEF we need people who can work in an independent manner and show initiative to develop their own viewpoints, yet be collaborative with colleagues. We don't rely on the status quo; we look for innovative yet pragmatic thinking that turns big ideas into real insights and impact. Working at BNEF sometimes feels chaotic; we need teams that are both dynamic and structured to generate the outstanding perspectives our clients really value. Our teams are diverse, creative, focused, and fun! We will trust you to: Deliver and present strategic research and insights on the gas industry that resonates with BNEF's global clients along the gas value chain. Be regarded as a thought leader and subject matter expert on the topic of gas and the energy transition. Be a focal for developing an integrated view and compelling narrative for the future outlook of gas together with our sector, energy economics and modeling teams. Conduct in-depth analysis on the drivers that underpin gas/LNG demand growth in various markets, working alongside regional gas and country transitions teams. Collaborate within the commodities, energy and environmental markets group to critically analyze cross-cutting themes - such as investments, trade, upstream supply and pricing dynamics. Strategize and execute high-value client engagement plans to drive business growth. You will need to have: At least 7 years of work experience in the energy industry, of which at least 3 covering the oil and gas sector or gas and power markets, specifically. Substantial experience in articulating insights in writing and verbally to a range of audiences, including senior business executives (English fluency). Demonstrated ability to think critically and "connect the dots" between diverse topics, including policy, economics, finance, markets and technology. Excellent quantitative skills, and comfort in working with large datasets and complex models. Time management skills and confidence in balancing work on multiple projects at once. A strong motivation to collaborate with other teams, build an industry network and deliver top-quality client service. We would love to see: Previous role in energy research, energy systems modelling or energy market analytics. Prior experience in project management, mentorship and development of others. Business proficiency in another language. Salary Range = 145000 - 165000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Senior Financial Analyst - Data - Finance & Administration Location New York Business Area Accounting and Finance Ref # Description & Requirements The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast - while keeping up the quality and accuracy we're known for. It's what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we also help network with the communities around us, too. You can do amazing work here. Work you couldn't do anywhere else. It's up to you to make it happen. What's the Role? At Bloomberg Finance we are committed to providing world-class support to our business partners by providing insight on business performance, financial oversight and thought leadership. We are currently seeking a Senior Financial Analyst to join our Finance team supporting Bloomberg's Data organization. The Data organization supports and enhances Bloomberg's flagship products with complex and extensive datasets covering a vast range of sources and data types. All Bloomberg clients, from Terminal to Enterprise, use the work that is done in Data. News, analysis, and trading applications all consume the data and insights generated by the Data segment. As a result, we are focused on ensuring the completeness and accuracy of our entire offering - and proactive data quality management as an operating discipline. As a member of this team, you will have the opportunity to deliver a unique blend of financial and operational analysis, financial modeling and reporting, and senior management support in a fast-paced and cutting-edge business. You will be expected to provide business managers and executives with timely, accurate, and transparent reporting of relevant metrics and financial information to drive efficient operations and accountability to business outcomes. You will be responsible for using extensive data sources to provide solutions to urgent business questions, financial / operational insight, and reporting. We'll trust you to: • Drive financial reporting, analysis, and forecasting processes for the Data organization along with monitoring historical resource and expense trends • Create and develop detailed financial models and analysis to support various strategic initiatives including workforce transformation, allocation methodology calibration, and multi-year resource plans. • Lead development and preparation of presentations for business heads and Finance management, both on a regularly scheduled and ad hoc basis • Identify opportunities to enhance the efficiency of existing processes, and propose improvements to streamline the collection, use, and presentation of data • Build relationships with key business contacts, working closely with stakeholders to inform business strategy, define strategic priorities and measure success You'll need to have: • 6+ years financial experience • Bachelor's degree in Finance or related fields • Outstanding verbal, written and interpersonal communication skills • Advanced Excel modeling skills • Experience producing executive and management reporting (PowerPoint) • Ability to deliver high-quality, bespoke analytics on rapid timelines • Team player with ability to deal with changing priorities • Strong organizational skills and ability to prioritize multiple tasks are required We'd love to see: • 6+ years of FP&A experience at a financial services or technology firm • Flexibility to work in an entrepreneurial and fast-moving environment • Superior Microsoft Excel skills (VBA a plus) • Project management experience, specifically with highly iterative/Agile style workstreams • Experience with Enterprise software applications e.g. SAP Salary Range = 110000 - 150000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
08/31/2025
Full time
Senior Financial Analyst - Data - Finance & Administration Location New York Business Area Accounting and Finance Ref # Description & Requirements The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast - while keeping up the quality and accuracy we're known for. It's what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we also help network with the communities around us, too. You can do amazing work here. Work you couldn't do anywhere else. It's up to you to make it happen. What's the Role? At Bloomberg Finance we are committed to providing world-class support to our business partners by providing insight on business performance, financial oversight and thought leadership. We are currently seeking a Senior Financial Analyst to join our Finance team supporting Bloomberg's Data organization. The Data organization supports and enhances Bloomberg's flagship products with complex and extensive datasets covering a vast range of sources and data types. All Bloomberg clients, from Terminal to Enterprise, use the work that is done in Data. News, analysis, and trading applications all consume the data and insights generated by the Data segment. As a result, we are focused on ensuring the completeness and accuracy of our entire offering - and proactive data quality management as an operating discipline. As a member of this team, you will have the opportunity to deliver a unique blend of financial and operational analysis, financial modeling and reporting, and senior management support in a fast-paced and cutting-edge business. You will be expected to provide business managers and executives with timely, accurate, and transparent reporting of relevant metrics and financial information to drive efficient operations and accountability to business outcomes. You will be responsible for using extensive data sources to provide solutions to urgent business questions, financial / operational insight, and reporting. We'll trust you to: • Drive financial reporting, analysis, and forecasting processes for the Data organization along with monitoring historical resource and expense trends • Create and develop detailed financial models and analysis to support various strategic initiatives including workforce transformation, allocation methodology calibration, and multi-year resource plans. • Lead development and preparation of presentations for business heads and Finance management, both on a regularly scheduled and ad hoc basis • Identify opportunities to enhance the efficiency of existing processes, and propose improvements to streamline the collection, use, and presentation of data • Build relationships with key business contacts, working closely with stakeholders to inform business strategy, define strategic priorities and measure success You'll need to have: • 6+ years financial experience • Bachelor's degree in Finance or related fields • Outstanding verbal, written and interpersonal communication skills • Advanced Excel modeling skills • Experience producing executive and management reporting (PowerPoint) • Ability to deliver high-quality, bespoke analytics on rapid timelines • Team player with ability to deal with changing priorities • Strong organizational skills and ability to prioritize multiple tasks are required We'd love to see: • 6+ years of FP&A experience at a financial services or technology firm • Flexibility to work in an entrepreneurial and fast-moving environment • Superior Microsoft Excel skills (VBA a plus) • Project management experience, specifically with highly iterative/Agile style workstreams • Experience with Enterprise software applications e.g. SAP Salary Range = 110000 - 150000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Bloomberg Research - Returnship and Reorientation Program, New York (Contract) Location New York Business Area Research Ref # Description & Requirements About Bloomberg Research Bloomberg Intelligence (BI) is a leading investment research platform of 500 investment professionals covering asset classes globally including equities, fixed income, rates and commodities along with insights related to litigation, regulatory and environmental, social, and governance (ESG) issues. We offer valuable written analysis on 135 industries and 2,200 companies, industry data, and interactive charting and functions from a team of independent experts, giving investment and corporate professionals deep insights into where crucial industries stand today and where they may be heading next. BloombergNEF (BNEF) is a strategic research provider covering global commodity markets and the disruptive technologies driving the transition to a low-carbon economy. We help our clients gain a clear perspective on the trends in technology, finance, policy and economics that are driving transformation across the energy value chain. Our expert coverage assesses pathways for the power, transport, industry, buildings and agriculture sectors to adapt to the energy transition. We help commodity trading, corporate strategy, finance and policy professionals navigate change and generate opportunities. BNEF has 300 staff based in 20 offices across the globe. About the Returnship and Reorientation Program Our Bloomberg Research teams are looking to proactively hire and support the transition of professionals keen to get back into the workforce. We see these individuals enriching our research service by bringing industry knowledge, business experience, and capabilities to provide different perspectives and insights for our global clients. The goal of the Returnship and Reorientation (R&R) program is to promote a pathway to ease high caliber talent back into work life after taking a personal career break. The program aims to support the reorientation of experienced talent for research and analysis roles at Bloomberg. Successful candidates will be brought into Bloomberg Research teams as a contract worker for a 12-month period. We are looking for individuals who can bring transferable skills and knowledge that can be applied to Bloomberg's research and market analysis services. See more of what we cover here: (BI) and (BNEF) Program eligibility: To be considered for the program, candidates need to apply after a minimum two-year career break. Your experience needs to align to a Bloomberg Research coverage area or show strong competency in a skillset required to be a successful analyst. We'll trust you to: Identify, interpret and analyze relevant data, market trends, macro themes, policy, and company developments. Use your relevant experience to produce well-reasoned, high-quality, insightful research that resonates with our Bloomberg clients Work in an independent manner and show initiative to develop your own viewpoints and collaborate with global colleagues Effectively communicate views and findings through frequent written reports You'll need to have: At least four years of full-time work experience gained within a research, analysis, consulting, publishing, trading, financial or investment environment Proficiency in spoken and written English Confidence, motivation and a curiosity to question and learn new things Strong time management and organizational skills Ability to generate new research ideas and analyze data Bachelor's degree or degree equivalent experience We'd love to see: A degree or advanced qualification in a financial or technical field Experience in equity or market research and analysis Prior use and knowledge of Bloomberg's various services If this sounds like you: Apply if you think we're a good match and we'll get in touch with you to let you know next steps. Please include a cover letter with your application explaining your interest in this program Salary Range = 45 - 48 USD Hourly The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
08/31/2025
Full time
Bloomberg Research - Returnship and Reorientation Program, New York (Contract) Location New York Business Area Research Ref # Description & Requirements About Bloomberg Research Bloomberg Intelligence (BI) is a leading investment research platform of 500 investment professionals covering asset classes globally including equities, fixed income, rates and commodities along with insights related to litigation, regulatory and environmental, social, and governance (ESG) issues. We offer valuable written analysis on 135 industries and 2,200 companies, industry data, and interactive charting and functions from a team of independent experts, giving investment and corporate professionals deep insights into where crucial industries stand today and where they may be heading next. BloombergNEF (BNEF) is a strategic research provider covering global commodity markets and the disruptive technologies driving the transition to a low-carbon economy. We help our clients gain a clear perspective on the trends in technology, finance, policy and economics that are driving transformation across the energy value chain. Our expert coverage assesses pathways for the power, transport, industry, buildings and agriculture sectors to adapt to the energy transition. We help commodity trading, corporate strategy, finance and policy professionals navigate change and generate opportunities. BNEF has 300 staff based in 20 offices across the globe. About the Returnship and Reorientation Program Our Bloomberg Research teams are looking to proactively hire and support the transition of professionals keen to get back into the workforce. We see these individuals enriching our research service by bringing industry knowledge, business experience, and capabilities to provide different perspectives and insights for our global clients. The goal of the Returnship and Reorientation (R&R) program is to promote a pathway to ease high caliber talent back into work life after taking a personal career break. The program aims to support the reorientation of experienced talent for research and analysis roles at Bloomberg. Successful candidates will be brought into Bloomberg Research teams as a contract worker for a 12-month period. We are looking for individuals who can bring transferable skills and knowledge that can be applied to Bloomberg's research and market analysis services. See more of what we cover here: (BI) and (BNEF) Program eligibility: To be considered for the program, candidates need to apply after a minimum two-year career break. Your experience needs to align to a Bloomberg Research coverage area or show strong competency in a skillset required to be a successful analyst. We'll trust you to: Identify, interpret and analyze relevant data, market trends, macro themes, policy, and company developments. Use your relevant experience to produce well-reasoned, high-quality, insightful research that resonates with our Bloomberg clients Work in an independent manner and show initiative to develop your own viewpoints and collaborate with global colleagues Effectively communicate views and findings through frequent written reports You'll need to have: At least four years of full-time work experience gained within a research, analysis, consulting, publishing, trading, financial or investment environment Proficiency in spoken and written English Confidence, motivation and a curiosity to question and learn new things Strong time management and organizational skills Ability to generate new research ideas and analyze data Bachelor's degree or degree equivalent experience We'd love to see: A degree or advanced qualification in a financial or technical field Experience in equity or market research and analysis Prior use and knowledge of Bloomberg's various services If this sounds like you: Apply if you think we're a good match and we'll get in touch with you to let you know next steps. Please include a cover letter with your application explaining your interest in this program Salary Range = 45 - 48 USD Hourly The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
External Relations - Communications Specialist - Financial Products Location New York Business Area Marketing and Public Relations Ref # Description & Requirements The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast - while keeping up the quality and accuracy we're known for. It's what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we also help network with the communities around us, too. You can do amazing work here. Work you couldn't do anywhere else. It's up to you to make it happen. Technology is driving innovation in the financial industry, enabling financial firms and global market participants to make advances in data management, process automation, efficiency and growth. Bloomberg remains at the forefront of FinTech and financial information innovation, developing solutions that anticipate the evolving needs of the global financial community, and embedding emerging technologies into the fabric of our trusted network and applications. In this way, we empower our clients to take advantage of innovation without disrupting the existing workflows and relationships that power our customers' firms and connect the institutional financial ecosystem and global capital markets. We are looking for a communications specialist who is energized by crafting unique, compelling stories on financial technology and the markets. Business areas that where knowledge is preferred include: the buy-side workflow, electronic trading, risk and regulations and an understanding of the capital markets. We'll Trust You To: Identify and craft compelling stories that describe Bloomberg's role in furthering financial technology and innovation in an evolving market. Help to translate the complexity of Bloomberg's solutions for the enterprise into pitches, press releases and content that positions Bloomberg as a leading provider of enterprise solutions for the capital markets Contribute to the development of communications plans and campaigns that support product strategy and monitoring the media landscape for actionable insights Build and maintain relationships with media, industry analysts and others in financial and technology circles Support the development of business and product messaging for spokespeople Apply rigorous attention to metrics, monitoring progress and incorporate insights and trends into communications strategies to drive successful outcomes Collaborate with communications and marketing colleagues to ensure message and tactic consistency. You'll Need To Have: Minimum of 7 years of communications/public relations experience in-house or at an agency Experience working with a financial firm or technology company that serves the financial sector Familiarity with the media outlets, reporters and industry analysts that cover the capital markets, technology and/or the financial industry Experience developing global media strategies, shaping messaging, creating compelling content and pitching stories Strong interpersonal and written communication skills A healthy balance of autonomy, collaboration and cooperation Does This Sound Like You? Apply if you think we're a match. We'll be in touch to let you know what next steps are. Salary Range = 120000 - 135000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
08/31/2025
Full time
External Relations - Communications Specialist - Financial Products Location New York Business Area Marketing and Public Relations Ref # Description & Requirements The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast - while keeping up the quality and accuracy we're known for. It's what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we also help network with the communities around us, too. You can do amazing work here. Work you couldn't do anywhere else. It's up to you to make it happen. Technology is driving innovation in the financial industry, enabling financial firms and global market participants to make advances in data management, process automation, efficiency and growth. Bloomberg remains at the forefront of FinTech and financial information innovation, developing solutions that anticipate the evolving needs of the global financial community, and embedding emerging technologies into the fabric of our trusted network and applications. In this way, we empower our clients to take advantage of innovation without disrupting the existing workflows and relationships that power our customers' firms and connect the institutional financial ecosystem and global capital markets. We are looking for a communications specialist who is energized by crafting unique, compelling stories on financial technology and the markets. Business areas that where knowledge is preferred include: the buy-side workflow, electronic trading, risk and regulations and an understanding of the capital markets. We'll Trust You To: Identify and craft compelling stories that describe Bloomberg's role in furthering financial technology and innovation in an evolving market. Help to translate the complexity of Bloomberg's solutions for the enterprise into pitches, press releases and content that positions Bloomberg as a leading provider of enterprise solutions for the capital markets Contribute to the development of communications plans and campaigns that support product strategy and monitoring the media landscape for actionable insights Build and maintain relationships with media, industry analysts and others in financial and technology circles Support the development of business and product messaging for spokespeople Apply rigorous attention to metrics, monitoring progress and incorporate insights and trends into communications strategies to drive successful outcomes Collaborate with communications and marketing colleagues to ensure message and tactic consistency. You'll Need To Have: Minimum of 7 years of communications/public relations experience in-house or at an agency Experience working with a financial firm or technology company that serves the financial sector Familiarity with the media outlets, reporters and industry analysts that cover the capital markets, technology and/or the financial industry Experience developing global media strategies, shaping messaging, creating compelling content and pitching stories Strong interpersonal and written communication skills A healthy balance of autonomy, collaboration and cooperation Does This Sound Like You? Apply if you think we're a match. We'll be in touch to let you know what next steps are. Salary Range = 120000 - 135000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
