Sentara Health
Virginia Beach, Virginia
City/State Virginia Beach, VA Work Shift First (Days) Overview: Sentara is hiring for a Senior Data Scientist! This position is fully remote. Overview We are seeking a highly skilled and experienced Data Science ML Operations and Gen AI Engineer (or Senior) to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better healthcare. The Senior Data Scientist will leverage data to improve healthcare outcomes and drive data-driven decision-making. Leveraging expertise in statistical analysis and machine learning, this role will collaborate with cross-functional teams to solve complex healthcare challenges and enhance patient care. This role will directly contribute to advancing medical research, optimizing healthcare processes, and delivering innovative solutions in the healthcare industry. As a Senior ML Engineer on our team, you will play a crucial role in identifying gaps in our existing ML platform and architecting and building solutions to address those gaps. You will also collaborate with the AI team's ML Scientists and our partner data engineering and software development teams to bring ML AND Gen AI models to production and maintain their health and integrity while in production. Your expertise in machine learning and Gen AI, coupled with a strong background in software development, will be instrumental in driving the success of Sentara's AI/ML initiatives. Qualifications: • 5+ years building production software/ML systems, including 1+ years of experience with LLMs/GenAI. • Proficient in Python and one major DL/LLM stack (e.g., PyTorch/Transformers); experience with LangChain/LlamaIndex, vector DBs, and cloud (AWS/Azure/GCP). • Demonstrated delivery of RAG, prompt engineering, evaluation frameworks, and guardrails in production. • Strength in APIs, distributed systems, and ML Ops (K8s, CI/CD, monitoring). • Experience with EPIC health platform is highly preferred • Experience with ML platforms and ML Ops: Demonstrated experience in assessing and improving ML platforms, identifying gaps, and architecting solutions to address them. Strong familiarity with ML platform components such as data ingestion, preprocessing, feature stores, model training, deployment, and monitoring. • Experience with SQL and big data platforms such as Postgres, Redshift and Snowflake • Experience with Agile/Scrum methodology and best practices Preferred: • Previous work experience with Generative AI and ML Ops in healthcare EPIC environment • Understanding of use and implementation of Vector Databases • Kubernetes container orchestration experience Responsibilities • Responsible for design and development of production-grade Machine Learning ops and Gen AI solutions • Lead hands-on delivery of scalable GenAI solutions from problem framing prototyping evaluation production monitoring. • Build internal copilots/assistants (knowledge search, code/content generation) and client-facing products (conversational analytics, summarization, recommendations, workflow automation). • Design RAG pipelines, embedding strategies, vector search, and model orchestration; evaluate fine-tuning vs. prompt engineering. • Implement guardrails, safety filters, prompt/version management, latency/throughput optimizations, and cost controls. • ML platform and ML Ops: Identify areas that require improvements or additional functionalities and use your expertise in machine learning and software engineering to architect and develop solutions that fill gaps in our ML platform and development ecosystem. Analyze system performance, scalability, and reliability to pinpoint opportunities for enhancement. Develop tools and solutions that help the team build, deploy, and monitor AI/ML solutions efficiently. • System scalability and reliability: Optimize the scalability, performance, and reliability and AI Team solutions by implementing best practices and leveraging industry-standard technologies. Collaborate with infrastructure teams to ensure smooth integration and deployment of ML solutions. Design scalable and efficient systems that leverage the power of machine learning for enhanced performance and capabilities. • Data processing and workflow pipelines: Streamline data ingestion, preprocessing, feature engineering, and model training workflows to improve efficiency and reduce latency. Work with data engineering and data platform teams to design and implement robust data pipelines that support the AI team's needs. • Model deployment and monitoring: Evaluate and optimize model prototypes for real-world performance. Work with infrastructure and development teams to integrate ML models into production systems. Work closely with partner teams to communicate and understand technical requirements and challenges. • As part of Sentara's Data Science team you will be responsible for implementation and operationalization of AI/ML models. You will work with other machine learning engineers, data scientists, software engineers and platform engineers to ensure success of the AI/ML implementations. Specific responsibilities will include: • Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc. • Take offline models data scientists build and turn them into a real machine learning production system. Education Bachelor's Degree (Required) Certification/Licensure No specific certification or licensure requirements Experience Required to have 5+ years of experience as a Data Scientist with a strong focus on Azure and Microsoft Data Science, AI, and machine learning toolsets. Required to have strong problem-solving skills and the ability to tackle complex healthcare challenges using data-driven approaches. Can help the Data Science infrastructure building up, working with ML Ops team for model implementation, mentoring and developing junior staff. Required to have s trong proficiency in data analysis, data manipulation, and data visualization using Python. Required to have f amiliarity with healthcare-related datasets, medical terminologies, and electronic health records (EHR) data. Required to have knowledge of statistical techniques, hypothesis testing, and experimental design for healthcare research. Required to have s trong machine learning expertise: Proficient in machine learning algorithms, statistical modeling, and data analysis. Hands-on experience with standard ML frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, XGBoost, TensorFlow, or Keras). Required to have solid understanding of data engineering principles, data structures, and algorithms. Proficient in Python and/or other programming languages commonly used in ML development. Required to have experience in technologies, frameworks and architecture like Java or Python, Angular, React, JSON, Application Servers, CI/CD is preferred. Required to have experience with one or more AI automations platforms like Kubeflow pipeline, MLFlow, Azure Pipeline, AWS Sage Maker Pipeline, Airflow, Jenkins, Spark, Hadoop, Kafka, Jira and GIT. We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for full-time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.
City/State Virginia Beach, VA Work Shift First (Days) Overview: Sentara is hiring for a Senior Data Scientist! This position is fully remote. Overview We are seeking a highly skilled and experienced Data Science ML Operations and Gen AI Engineer (or Senior) to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better healthcare. The Senior Data Scientist will leverage data to improve healthcare outcomes and drive data-driven decision-making. Leveraging expertise in statistical analysis and machine learning, this role will collaborate with cross-functional teams to solve complex healthcare challenges and enhance patient care. This role will directly contribute to advancing medical research, optimizing healthcare processes, and delivering innovative solutions in the healthcare industry. As a Senior ML Engineer on our team, you will play a crucial role in identifying gaps in our existing ML platform and architecting and building solutions to address those gaps. You will also collaborate with the AI team's ML Scientists and our partner data engineering and software development teams to bring ML AND Gen AI models to production and maintain their health and integrity while in production. Your expertise in machine learning and Gen AI, coupled with a strong background in software development, will be instrumental in driving the success of Sentara's AI/ML initiatives. Qualifications: • 5+ years building production software/ML systems, including 1+ years of experience with LLMs/GenAI. • Proficient in Python and one major DL/LLM stack (e.g., PyTorch/Transformers); experience with LangChain/LlamaIndex, vector DBs, and cloud (AWS/Azure/GCP). • Demonstrated delivery of RAG, prompt engineering, evaluation frameworks, and guardrails in production. • Strength in APIs, distributed systems, and ML Ops (K8s, CI/CD, monitoring). • Experience with EPIC health platform is highly preferred • Experience with ML platforms and ML Ops: Demonstrated experience in assessing and improving ML platforms, identifying gaps, and architecting solutions to address them. Strong familiarity with ML platform components such as data ingestion, preprocessing, feature stores, model training, deployment, and monitoring. • Experience with SQL and big data platforms such as Postgres, Redshift and Snowflake • Experience with Agile/Scrum methodology and best practices Preferred: • Previous work experience with Generative AI and ML Ops in healthcare EPIC environment • Understanding of use and implementation of Vector Databases • Kubernetes container orchestration experience Responsibilities • Responsible for design and development of production-grade Machine Learning ops and Gen AI solutions • Lead hands-on delivery of scalable GenAI solutions from problem framing prototyping evaluation production monitoring. • Build internal copilots/assistants (knowledge search, code/content generation) and client-facing products (conversational analytics, summarization, recommendations, workflow automation). • Design RAG pipelines, embedding strategies, vector search, and model orchestration; evaluate fine-tuning vs. prompt engineering. • Implement guardrails, safety filters, prompt/version management, latency/throughput optimizations, and cost controls. • ML platform and ML Ops: Identify areas that require improvements or additional functionalities and use your expertise in machine learning and software engineering to architect and develop solutions that fill gaps in our ML platform and development ecosystem. Analyze system performance, scalability, and reliability to pinpoint opportunities for enhancement. Develop tools and solutions that help the team build, deploy, and monitor AI/ML solutions efficiently. • System scalability and reliability: Optimize the scalability, performance, and reliability and AI Team solutions by implementing best practices and leveraging industry-standard technologies. Collaborate with infrastructure teams to ensure smooth integration and deployment of ML solutions. Design scalable and efficient systems that leverage the power of machine learning for enhanced performance and capabilities. • Data processing and workflow pipelines: Streamline data ingestion, preprocessing, feature engineering, and model training workflows to improve efficiency and reduce latency. Work with data engineering and data platform teams to design and implement robust data pipelines that support the AI team's needs. • Model deployment and monitoring: Evaluate and optimize model prototypes for real-world performance. Work with infrastructure and development teams to integrate ML models into production systems. Work closely with partner teams to communicate and understand technical requirements and challenges. • As part of Sentara's Data Science team you will be responsible for implementation and operationalization of AI/ML models. You will work with other machine learning engineers, data scientists, software engineers and platform engineers to ensure success of the AI/ML implementations. Specific responsibilities will include: • Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc. • Take offline models data scientists build and turn them into a real machine learning production system. Education Bachelor's Degree (Required) Certification/Licensure No specific certification or licensure requirements Experience Required to have 5+ years of experience as a Data Scientist with a strong focus on Azure and Microsoft Data Science, AI, and machine learning toolsets. Required to have strong problem-solving skills and the ability to tackle complex healthcare challenges using data-driven approaches. Can help the Data Science infrastructure building up, working with ML Ops team for model implementation, mentoring and developing junior staff. Required to have s trong proficiency in data analysis, data manipulation, and data visualization using Python. Required to have f amiliarity with healthcare-related datasets, medical terminologies, and electronic health records (EHR) data. Required to have knowledge of statistical techniques, hypothesis testing, and experimental design for healthcare research. Required to have s trong machine learning expertise: Proficient in machine learning algorithms, statistical modeling, and data analysis. Hands-on experience with standard ML frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, XGBoost, TensorFlow, or Keras). Required to have solid understanding of data engineering principles, data structures, and algorithms. Proficient in Python and/or other programming languages commonly used in ML development. Required to have experience in technologies, frameworks and architecture like Java or Python, Angular, React, JSON, Application Servers, CI/CD is preferred. Required to have experience with one or more AI automations platforms like Kubeflow pipeline, MLFlow, Azure Pipeline, AWS Sage Maker Pipeline, Airflow, Jenkins, Spark, Hadoop, Kafka, Jira and GIT. We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for full-time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.
Palm Venture Studios
2 weeks ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. About Palm Venture Studios Palm Venture Studios (Palm) is a single-family-office-backed venture studio with a national footprint, headquartered in Greenwich CT. As a venture studio we both acquire early stage distressed companies or assets and seed new startup companies that will be both good businesses and create positive impact for society. We are a team of entrepreneurs and operators that partner with mission-driven founders to give their companies rescue capital and expertise, and build new companies from scratch. About Palm Venture Studios Palm Venture Studios (Palm) is a single-family-office-backed venture studio with a national footprint, headquartered in Greenwich CT. As a venture studio we both acquire early stage distressed companies or assets and seed new startup companies that will be both good businesses and create positive impact for society. We are a team of entrepreneurs and operators that partner with mission-driven founders to give their companies rescue capital and expertise, and build new companies from scratch. About Gentoro Gentoro is an innovation-driven B2B software startup dedicated to empowering enterprises to harness the full potential of Generative AI. Our mission is to enable businesses to effortlessly develop, deploy, and manage AI Agents with cutting-edge solutions that interact with enterprise ecosystems, safely and securely. As the creators of Gentoro, the groundbreaking Model Context Protocol (MCP)-based LLM-to-Enterprise Bridge, we are redefining how AI Agents integrate into enterprise ecosystems. By harnessing the latest advancements in Generative AI, our innovative no-code solution seamlessly, safely, and securely extends the transformative power of Large Language Models (LLMs) to enterprises. If you're passionate about the transformative power of Generative AI to solve real-world business challenges, thrive in a collaborative and fast-paced environment, and aspire to be part of a category leading product, we want you on our team! Join us as a foundational engineer and play a pivotal role in creating cutting-edge AI-powered products for the future. Role Overview As the Chief AI & Data Scientist, you will lead the strategy, development, and deployment of our AI and data science initiatives. You will work closely with the rest of the engineering team to ensure our AI solutions deliver measurable value to our customers and competitive advantages for Gentoro. This is a leadership role that combines hands-on expertise with strategic oversight, driving innovation in generative AI and machine learning. Responsibilities: Strategic Leadership: Define and execute the AI and data strategy aligned with the company's vision and goals. R&D Oversight: Lead research and development in generative AI, machine learning, NLP, and data analytics to create state-of-the-art solutions. Product Innovation: Collaborate with product teams to identify and implement AI-driven features and capabilities. Enterprise Integration: Drive initiatives to integrate AI solutions seamlessly with enterprise systems and complimentary vendor solutions. Thought Leadership: Represent the company at industry conferences, contribute to publications, and foster partnerships with academic and research institutions. Requirements Education: Ph.D. or Masters in Computer Science, AI, Data Science, or related field. 5 + years of professional experience in AI or data science roles in the industry Experience with enterprise AI development, deployments and integrations technologies Proficiency in B2B software development in Java, Python, and related technologies Familiarity with LangChain, LamaIndexing or similar AI Agent Development frameworks. Working knowledge of MLOps, data engineering, and cloud platforms (AWS, GCP, Azure). Soft Skills: Excellent communication, problem-solving, and decision-making abilities. Why Join Us? Be a Pioneer: Join us at the ground level of a well positioned, visionary startup. Be part of a passionate, driven team shaping the future of Generative AI and leaving a lasting impact on the industry. Shape the Future with CuttingEdge Tech: Work on revolutionary technology, pushing the boundaries of innovation and creativity. Competitive Compensation with a Stake in Success: Enjoy a competitive salary paired with earlystage equity, giving you a direct stake in the company's success and a chance to grow alongside us. Work Your Way: Thrive in a flexible work environment tailored to your needs-choose between remote, hybrid, or onsite arrangements that work best for you. Invest in Yourself: Unlock opportunities for professional growth, continuous learning, and career development in a supportive, innovation-focused culture. Futureproof your career by building expertise in one of the most transformative fields of our time. Join us to create, innovate, and grow in a place where your ideas truly matter.Seniority level Seniority levelExecutive Employment type Employment typeFull-time Job function Job functionOther IndustriesIT Services and IT Consulting Referrals increase your chances of interviewing at Palm Venture Studios by 2x Get notified about new Chief Data Officer jobs in San Jose, CA . Pleasanton, CA $220,000.00-$295,000.00 2 weeks ago Redwood City, CA $332,000.00-$498,000.00 8 hours ago Chief Technology Officer - Excite Credit UnionData Science Co-Founder / CTO (100 % remote) (m/f/d) San Francisco Bay Area $225,000.00-$275,000.00 2 weeks ago B2B Co-Founder / CEO (100 % remote) (m/f/d) Redwood City, CA $284,000.00-$355,000.00 1 week ago San Francisco Bay Area $150,000.00-$200,000.00 2 weeks ago San Jose, CA $120,000.00-$140,000.00 1 day ago Fremont, CA $120,000.00-$140,000.00 1 day ago Senior CTO / Co-Founder- Equity & Salary Package (Remote)Co-founder and Chief Scientific Officer/CTO/Quantum AI Researcher (PhD) Redwood City, CA $22,065.33-$27,579.07 6 days ago San Jose, CA $111,500.00-$191,950.00 1 month ago Chief of Staff to the CEO / Operations LeadYMCA of Silicon Valley - President and CEODeputy Chief Information Officer for the Technical Infrastructure Division (Deputy Director) We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
2 weeks ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. About Palm Venture Studios Palm Venture Studios (Palm) is a single-family-office-backed venture studio with a national footprint, headquartered in Greenwich CT. As a venture studio we both acquire early stage distressed companies or assets and seed new startup companies that will be both good businesses and create positive impact for society. We are a team of entrepreneurs and operators that partner with mission-driven founders to give their companies rescue capital and expertise, and build new companies from scratch. About Palm Venture Studios Palm Venture Studios (Palm) is a single-family-office-backed venture studio with a national footprint, headquartered in Greenwich CT. As a venture studio we both acquire early stage distressed companies or assets and seed new startup companies that will be both good businesses and create positive impact for society. We are a team of entrepreneurs and operators that partner with mission-driven founders to give their companies rescue capital and expertise, and build new companies from scratch. About Gentoro Gentoro is an innovation-driven B2B software startup dedicated to empowering enterprises to harness the full potential of Generative AI. Our mission is to enable businesses to effortlessly develop, deploy, and manage AI Agents with cutting-edge solutions that interact with enterprise ecosystems, safely and securely. As the creators of Gentoro, the groundbreaking Model Context Protocol (MCP)-based LLM-to-Enterprise Bridge, we are redefining how AI Agents integrate into enterprise ecosystems. By harnessing the latest advancements in Generative AI, our innovative no-code solution seamlessly, safely, and securely extends the transformative power of Large Language Models (LLMs) to enterprises. If you're passionate about the transformative power of Generative AI to solve real-world business challenges, thrive in a collaborative and fast-paced environment, and aspire to be part of a category leading product, we want you on our team! Join us as a foundational engineer and play a pivotal role in creating cutting-edge AI-powered products for the future. Role Overview As the Chief AI & Data Scientist, you will lead the strategy, development, and deployment of our AI and data science initiatives. You will work closely with the rest of the engineering team to ensure our AI solutions deliver measurable value to our customers and competitive advantages for Gentoro. This is a leadership role that combines hands-on expertise with strategic oversight, driving innovation in generative AI and machine learning. Responsibilities: Strategic Leadership: Define and execute the AI and data strategy aligned with the company's vision and goals. R&D Oversight: Lead research and development in generative AI, machine learning, NLP, and data analytics to create state-of-the-art solutions. Product Innovation: Collaborate with product teams to identify and implement AI-driven features and capabilities. Enterprise Integration: Drive initiatives to integrate AI solutions seamlessly with enterprise systems and complimentary vendor solutions. Thought Leadership: Represent the company at industry conferences, contribute to publications, and foster partnerships with academic and research institutions. Requirements Education: Ph.D. or Masters in Computer Science, AI, Data Science, or related field. 5 + years of professional experience in AI or data science roles in the industry Experience with enterprise AI development, deployments and integrations technologies Proficiency in B2B software development in Java, Python, and related technologies Familiarity with LangChain, LamaIndexing or similar AI Agent Development frameworks. Working knowledge of MLOps, data engineering, and cloud platforms (AWS, GCP, Azure). Soft Skills: Excellent communication, problem-solving, and decision-making abilities. Why Join Us? Be a Pioneer: Join us at the ground level of a well positioned, visionary startup. Be part of a passionate, driven team shaping the future of Generative AI and leaving a lasting impact on the industry. Shape the Future with CuttingEdge Tech: Work on revolutionary technology, pushing the boundaries of innovation and creativity. Competitive Compensation with a Stake in Success: Enjoy a competitive salary paired with earlystage equity, giving you a direct stake in the company's success and a chance to grow alongside us. Work Your Way: Thrive in a flexible work environment tailored to your needs-choose between remote, hybrid, or onsite arrangements that work best for you. Invest in Yourself: Unlock opportunities for professional growth, continuous learning, and career development in a supportive, innovation-focused culture. Futureproof your career by building expertise in one of the most transformative fields of our time. Join us to create, innovate, and grow in a place where your ideas truly matter.Seniority level Seniority levelExecutive Employment type Employment typeFull-time Job function Job functionOther IndustriesIT Services and IT Consulting Referrals increase your chances of interviewing at Palm Venture Studios by 2x Get notified about new Chief Data Officer jobs in San Jose, CA . Pleasanton, CA $220,000.00-$295,000.00 2 weeks ago Redwood City, CA $332,000.00-$498,000.00 8 hours ago Chief Technology Officer - Excite Credit UnionData Science Co-Founder / CTO (100 % remote) (m/f/d) San Francisco Bay Area $225,000.00-$275,000.00 2 weeks ago B2B Co-Founder / CEO (100 % remote) (m/f/d) Redwood City, CA $284,000.00-$355,000.00 1 week ago San Francisco Bay Area $150,000.00-$200,000.00 2 weeks ago San Jose, CA $120,000.00-$140,000.00 1 day ago Fremont, CA $120,000.00-$140,000.00 1 day ago Senior CTO / Co-Founder- Equity & Salary Package (Remote)Co-founder and Chief Scientific Officer/CTO/Quantum AI Researcher (PhD) Redwood City, CA $22,065.33-$27,579.07 6 days ago San Jose, CA $111,500.00-$191,950.00 1 month ago Chief of Staff to the CEO / Operations LeadYMCA of Silicon Valley - President and CEODeputy Chief Information Officer for the Technical Infrastructure Division (Deputy Director) We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.