At CF Industries, our mission is to provide clean energy to feed and fuel the world sustainably. Our employees are focused on safe and reliable operations, environmental stewardship, and disciplined capital and corporate management. By joining CF, you will be part of a team that brings their varied experiences, wide-ranging knowledge and diverse talents together to deliver important work and you'll be able to pursue complex, exciting opportunities that help you continue to grow and achieve your potential in different areas. You'll take pride in working for a company that lives its values and where you can be yourself at work, as part of an authentic team that encourages you to share your views and opinions. Our eight manufacturing complexes in the United States, Canada, and the United Kingdom, an unparalleled storage, transportation and distribution network in North America, and logistics capabilities enabling a global reach underpin our strategy to leverage our unique capabilities to accelerate the world's transition to clean energy. Function: Information Technology Job Summary: The Sr. IT Business Systems Analyst for Scheduling - (Primavera P6 EPPM) serves as a strategic advisor and functional owner for scheduling initiatives as a senior individual contributor. You are a self-starting individual with an aptitude for creative and critical thinking. You use your business expertise and enjoy collaborating with partners and helping implement positive change. You envision solutions that follow good data design and create insightful data visualizations to drive impactful business decisions. This role is responsible for ensuring reliable, integrated, and decision ready scheduling capabilities across Primavera P6 EPPM - Enterprise Portfolio Project Management, PIF - Project Integration Framework (the integration tool that sits between SAP and P6), SAP S/4HANA, and related systems supporting Capital Projects, Engineering Projects, Maintenance, and Turnaround / Outage Project scheduling and execution. You think critically, plan and execute effectively and collaborate cross-functionally with business and IT peers. You nurture positive, professional relationships, acting as a trusted partner and a respectful challenger. Communication Skills: The foundations of your success include your attention to detail, listening to the requirements, and taking the initiatives all the way through to the finish line. You're great at keeping everyone in the loop! You are skilled with today's communication technologies, and you can interact well to ensure all are on the same page. We're looking for people who will help clear roadblocks to reach our company's objectives. Job Description: Major Responsibilities : Serve as the strategic advisor and primary IT functional lead for scheduling initiatives, owning the functional partnership between CF Industries business teams and IT for Primavera P6, SAP, and related enterprise integrations. Partner closely with SAP functional and technical teams to validate SAP-to-P6 data mappings, assess downstream impacts of SAP configuration changes, and support integration and user acceptance testing. Collaborate with stakeholders to analyze business needs and deliver creative solutions for scheduling and reporting as they relate to Capital, Engineering, and Turnaround/Outage Projects. Deliver functional and technical requirements to development teams. Advise decision makers by providing insightful data visualizations and reporting to drive impactful business decisions. Lead projects in consultation with IT Security, Infrastructure Team, Business Owners, and Vendors. Drive projects end to end while ensuring stakeholder alignment along the way. Completes all deliverables according to Project Management methodology and regularly communicates status updates clearly. Accountable for shaping the direction of business systems by actively engaging in, and contributing to, the selection and evaluation of systems and products. Helping to define the IT RoadMap and help set strategy for scheduling. Define Scope and strategy to keep PIF and P6 Systems current & dependable. Manage operational activities on projects and enhancements, including monitoring resource needs, preparing documentation, status reports, key issues and/or change controls. Serve as point person for addressing issues and enhancements for P6 integration with SAP. Advise the business in developing reporting strategies where multiple systems such as SAP and P6 make up the data source of truth. Responsible for day-to-day management of the scheduling systems. Owner of Disaster Recover for the PIF and P6 Internal Controls Establishes and implements processes and procedures to meet departmental internal controls requirements. Verifies adherence to established processes and procedures as intended. Works with Internal Controls Department to identify deficiencies in existing processes/procedures, the need for new ones, and the extent to which such processes/procedures are being followed. Creates and carries out corrective measures for department internal controls as needed. Incumbent Attributes: Education: Bachelor's degree (Information Technology/Computer Science) or its equivalent in a related field is typically preferred. Years of experience: 7+ years of related professional work experience with Oracle PIF/P6, SAP experience is a plus. Other unique job-relevant attributes: Expert working knowledge of Oracle's PIF - P6 Business process knowledge in SAP S4. Hands-on SAP configuration is not required; strong SAP process literacy is expected. Knowledge of PIF/P6 systems capabilities and business operations Business test planning/coordination experience Experience of and participation in the change process, attending change board as a representative Excellent oral and written communication skills with organization and time management skills Ability to learn, demonstrate and apply knowledge of the business to deliver improvements in solutions and processes and better align IT Service with Business goals Willing to learn SAP in lieu of SAP experience. Understands Role Identity and Role Access as it pertains to PIF and P6 is preferred. The estimated base pay for the position is typically between $99,500 - $139,900 The actual base pay for the position may be influenced by factors such as education, training, skills, qualifications, competencies, years of experience, job-related knowledge, and scope of the role, and could be outside of the posted pay range. In addition to base pay, an incentive program is available to all full-time employees, and a comprehensive benefits package including two medical plan options, a health savings plan with a company contribution and a match, dental and vision benefits, a well-being incentive program, 401(k) Plan which provides a potential of receiving between 10% and 13% of employer's contribution, life and disability insurance, paid time off programs and much more! Additionally, we offer several Flexible Work Arrangements to support a healthy work-life balance. For more detailed information on the CF programs, please visit our Total Rewards website at: The above statements are intended to describe the general nature and level of work being performed by person(s) assigned to this job. These statements are not intended to be an exhaustive list of all responsibilities, duties and skills required of personnel in this position. FMLA: Employee Polygraph Protection Act Employees in Canada can learn more about their rights by viewing the "Canadian Human Rights Act". Notice Regarding Potential Use of Artificial Intelligence in the Recruitment Process As part of our recruitment process, CF Industries may use automated tools, including artificial intelligence ("AI") and machine learning technologies, to assist recruiters in identifying and prioritizing candidates whose qualifications align with job-related criteria, including information provided during the application process such as resumes, work history, education, qualifications, and responses to application questions. These tools support but do not replace human decision-making, and all final employment decisions are made by our Talent Acquisition team and/or hiring managers exercising independent judgment. If you need any assistance seeking a job opportunity at CF Industries, need reasonable accommodation with the application process, or have questions about our use of AI, please call or contact us at . JOIN OUR TALENT NETWORK
07/03/2026
Full time
At CF Industries, our mission is to provide clean energy to feed and fuel the world sustainably. Our employees are focused on safe and reliable operations, environmental stewardship, and disciplined capital and corporate management. By joining CF, you will be part of a team that brings their varied experiences, wide-ranging knowledge and diverse talents together to deliver important work and you'll be able to pursue complex, exciting opportunities that help you continue to grow and achieve your potential in different areas. You'll take pride in working for a company that lives its values and where you can be yourself at work, as part of an authentic team that encourages you to share your views and opinions. Our eight manufacturing complexes in the United States, Canada, and the United Kingdom, an unparalleled storage, transportation and distribution network in North America, and logistics capabilities enabling a global reach underpin our strategy to leverage our unique capabilities to accelerate the world's transition to clean energy. Function: Information Technology Job Summary: The Sr. IT Business Systems Analyst for Scheduling - (Primavera P6 EPPM) serves as a strategic advisor and functional owner for scheduling initiatives as a senior individual contributor. You are a self-starting individual with an aptitude for creative and critical thinking. You use your business expertise and enjoy collaborating with partners and helping implement positive change. You envision solutions that follow good data design and create insightful data visualizations to drive impactful business decisions. This role is responsible for ensuring reliable, integrated, and decision ready scheduling capabilities across Primavera P6 EPPM - Enterprise Portfolio Project Management, PIF - Project Integration Framework (the integration tool that sits between SAP and P6), SAP S/4HANA, and related systems supporting Capital Projects, Engineering Projects, Maintenance, and Turnaround / Outage Project scheduling and execution. You think critically, plan and execute effectively and collaborate cross-functionally with business and IT peers. You nurture positive, professional relationships, acting as a trusted partner and a respectful challenger. Communication Skills: The foundations of your success include your attention to detail, listening to the requirements, and taking the initiatives all the way through to the finish line. You're great at keeping everyone in the loop! You are skilled with today's communication technologies, and you can interact well to ensure all are on the same page. We're looking for people who will help clear roadblocks to reach our company's objectives. Job Description: Major Responsibilities : Serve as the strategic advisor and primary IT functional lead for scheduling initiatives, owning the functional partnership between CF Industries business teams and IT for Primavera P6, SAP, and related enterprise integrations. Partner closely with SAP functional and technical teams to validate SAP-to-P6 data mappings, assess downstream impacts of SAP configuration changes, and support integration and user acceptance testing. Collaborate with stakeholders to analyze business needs and deliver creative solutions for scheduling and reporting as they relate to Capital, Engineering, and Turnaround/Outage Projects. Deliver functional and technical requirements to development teams. Advise decision makers by providing insightful data visualizations and reporting to drive impactful business decisions. Lead projects in consultation with IT Security, Infrastructure Team, Business Owners, and Vendors. Drive projects end to end while ensuring stakeholder alignment along the way. Completes all deliverables according to Project Management methodology and regularly communicates status updates clearly. Accountable for shaping the direction of business systems by actively engaging in, and contributing to, the selection and evaluation of systems and products. Helping to define the IT RoadMap and help set strategy for scheduling. Define Scope and strategy to keep PIF and P6 Systems current & dependable. Manage operational activities on projects and enhancements, including monitoring resource needs, preparing documentation, status reports, key issues and/or change controls. Serve as point person for addressing issues and enhancements for P6 integration with SAP. Advise the business in developing reporting strategies where multiple systems such as SAP and P6 make up the data source of truth. Responsible for day-to-day management of the scheduling systems. Owner of Disaster Recover for the PIF and P6 Internal Controls Establishes and implements processes and procedures to meet departmental internal controls requirements. Verifies adherence to established processes and procedures as intended. Works with Internal Controls Department to identify deficiencies in existing processes/procedures, the need for new ones, and the extent to which such processes/procedures are being followed. Creates and carries out corrective measures for department internal controls as needed. Incumbent Attributes: Education: Bachelor's degree (Information Technology/Computer Science) or its equivalent in a related field is typically preferred. Years of experience: 7+ years of related professional work experience with Oracle PIF/P6, SAP experience is a plus. Other unique job-relevant attributes: Expert working knowledge of Oracle's PIF - P6 Business process knowledge in SAP S4. Hands-on SAP configuration is not required; strong SAP process literacy is expected. Knowledge of PIF/P6 systems capabilities and business operations Business test planning/coordination experience Experience of and participation in the change process, attending change board as a representative Excellent oral and written communication skills with organization and time management skills Ability to learn, demonstrate and apply knowledge of the business to deliver improvements in solutions and processes and better align IT Service with Business goals Willing to learn SAP in lieu of SAP experience. Understands Role Identity and Role Access as it pertains to PIF and P6 is preferred. The estimated base pay for the position is typically between $99,500 - $139,900 The actual base pay for the position may be influenced by factors such as education, training, skills, qualifications, competencies, years of experience, job-related knowledge, and scope of the role, and could be outside of the posted pay range. In addition to base pay, an incentive program is available to all full-time employees, and a comprehensive benefits package including two medical plan options, a health savings plan with a company contribution and a match, dental and vision benefits, a well-being incentive program, 401(k) Plan which provides a potential of receiving between 10% and 13% of employer's contribution, life and disability insurance, paid time off programs and much more! Additionally, we offer several Flexible Work Arrangements to support a healthy work-life balance. For more detailed information on the CF programs, please visit our Total Rewards website at: The above statements are intended to describe the general nature and level of work being performed by person(s) assigned to this job. These statements are not intended to be an exhaustive list of all responsibilities, duties and skills required of personnel in this position. FMLA: Employee Polygraph Protection Act Employees in Canada can learn more about their rights by viewing the "Canadian Human Rights Act". Notice Regarding Potential Use of Artificial Intelligence in the Recruitment Process As part of our recruitment process, CF Industries may use automated tools, including artificial intelligence ("AI") and machine learning technologies, to assist recruiters in identifying and prioritizing candidates whose qualifications align with job-related criteria, including information provided during the application process such as resumes, work history, education, qualifications, and responses to application questions. These tools support but do not replace human decision-making, and all final employment decisions are made by our Talent Acquisition team and/or hiring managers exercising independent judgment. If you need any assistance seeking a job opportunity at CF Industries, need reasonable accommodation with the application process, or have questions about our use of AI, please call or contact us at . JOIN OUR TALENT NETWORK
Open-Rank, Term Information Sciences and Technology Faculty Arlington, VA Fairfax, VA Manassas, VA Instructional Faculty Opening on: Dec Add to favorites View favorites Department: Col of Engineering and Computing Classification: 9-month Instructional Faculty Job Category: Instructional Faculty Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location: Fairfax / Manassas (Sci-Tech) / Arlington, VA Workplace Type: Hybrid Eligible Sponsorship: This position is eligible for sponsorship Salary: Salary commensurate with education and experience Criminal Background Check: Yes About the Department: The Department of Information Sciences and Technology (IST) includes 45 full-time faculty with research spanning artificial intelligence, cybersecurity, data mining, machine learning, natural language processing, human-centered computing, mobile and ubiquitous computing, cyber-physical systems, and engineering education. IST hosts the ABET-accredited BS in Information Technology serving more than 2,000 students, and also oversees the MS in Applied Information Technology (AIT), the MS in Information Systems (IS), and participates in interdisciplinary programs and the IT PhD. IST's research is supported by NSF, DoD, NIH, DARPA, and other federal agencies. About the Position: The Department of Information Sciences and Technology invites applications for multiple renewable-term, non-tenure-track faculty positions at the academic rank of Assistant, Associate or Full Professor, or at the rank of Instructor, beginning Fall 2026. Candidates for this position will be expected to teach and develop undergraduate and graduate courses; participate in university, college, and departmental governance; professional and public service; advising students; and performing related instructional assignments such as supervising senior projects, student internships, and practicum. Applicants at the rank of Associate or Full Professor must have interests in outreach, curriculum development, and significant experience in an academic setting in teaching for at least six years post Ph.D. Responsibilities: Teaches at the undergraduate and/or graduate level in the classroom and/or online; As department needs dictate, develops and coordinates courses and manages adjunct faculty and graduate teaching assistants; Participates in student advising; and Performs other departmental/university service duties and serves the profession. Required Qualifications: Applicants for the position of Assistant/Associate or Full Professor must have received a Ph.D. in Information Sciences, Information Technology, Computer Science, or related field; Senior applicants for Associate Professor or Professor positions should also have an established record of teaching experience;' Applicants who have received an MS/MA in the fields listed above or an MBA/MPA with a significant portion of the program devoted to Information Technology will be considered for Instructor positions; and Demonstrated potential for excellence in teaching. Preferred Qualifications: Applicants in all areas of Information Science and Technology, computing, and related areas will be given full consideration. We are particularly interested in applicants in the areas of Artificial Intelligence (including Generative AI & LLM, Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, Information System Design, Databases, Web Application Development and Programming, Operating Systems, Project Management, and Senior Design Capstone. Strong applicants from other areas are encouraged to apply and will also be considered; Related industry and/or teaching experience, preferably both; Administrative and/or managerial experience; and Ability to build collaborations with other departments within the College and across the University. Instructions to Applicants: For full consideration, applicants must apply for the Open-Rank, Term Information Sciences and Technology Faculty at Complete and submit the online application to include three professional references with contact information; and upload 1) a cover letter, 2) complete CV with publications, 3) statement of professional goals including your perspective on teaching (upload as Philosophy of Teaching), 4) research statement (optional), and 5) transcript (optional). Review of applications will continue until the position is filled. Posting Open Date: December 10, 2025 For Full Consideration, Apply by: January 19, 2026 Open Until Filled: Yes A Force for Innovation in the Heart of Northern Virginia's Technology Corridor About the College The College of Engineering and Computing (CEC) at George Mason University is a fast-growing force for innovation in research and education. Ranked nationally in the top 100 in both undergraduate and graduate education, the CEC enrolled a record high of 10,933 students in fall 2023. The college has 34 undergraduate, master's, and doctoral degree programs including several first-in-the-nation offerings. Of its 320 full-time faculty, 93 are tenured, 77 are tenure-track, 90 are term faculty, and 60 are research faculty. As part of a nationally ranked research university, CEC research teams expended $65 million in sponsored research awards in the past year and had projects with over $119 million in current and anticipated awards. The college stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, healthcare, autonomous systems, 5G/Next G communications, systems architecture, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more. The college encourages and supports multidisciplinary research and provides ample opportunity for faculty to work with other disciplines. About the University and the Region George Mason University is the largest and most diverse public research university in Virginia, with an enrollment of more than 40,000 students studying in over 200 degree programs. Mason is an innovative, entrepreneurial institution with national distinction in a range of academic fields. It was classified as an R1 research institution in 2016 by the Carnegie Classifications of Institutes of Higher Education. The university has campuses in Fairfax, Arlington, and Prince William County. Its proximity to Washington, D.C. provides unmatched geographical access to federal agencies and national laboratories. Northern Virginia is also home to one of the largest concentrations of high-tech firms in the nation, providing excellent opportunities for interaction with industry. The region is consistently rated as being among the best places to live in the country and has an outstanding local public school system. About the Future In conjunction with Amazon's decision to establish a second headquarters in Northern Virginia, the Commonwealth of Virginia announced a multi-year plan to invest in the growth of degree programs in computing. As a result, Mason has committed to accelerate its plans to grow its capacity in computing and high-tech fields. Among the university's exciting initiatives are the launch of the Institute for Digital Innovation-a university think tank and incubator to serve the digital economy-and the expansion of Mason Square, home to its Arlington facilities. In 2025, Fuse, a new 355,000 square foot building, will open to students, faculty, and research teams. This net-zero facility will house the Institute for Digital Innovation, state-of the-art classrooms, labs, and collaborative spaces. It will also include retail space, and leasing opportunities for local businesses. These initiatives reflect hundreds of millions of dollars in new investment by Mason that will rapidly elevate the university's already leading national position in computing and related areas.
07/03/2026
Open-Rank, Term Information Sciences and Technology Faculty Arlington, VA Fairfax, VA Manassas, VA Instructional Faculty Opening on: Dec Add to favorites View favorites Department: Col of Engineering and Computing Classification: 9-month Instructional Faculty Job Category: Instructional Faculty Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location: Fairfax / Manassas (Sci-Tech) / Arlington, VA Workplace Type: Hybrid Eligible Sponsorship: This position is eligible for sponsorship Salary: Salary commensurate with education and experience Criminal Background Check: Yes About the Department: The Department of Information Sciences and Technology (IST) includes 45 full-time faculty with research spanning artificial intelligence, cybersecurity, data mining, machine learning, natural language processing, human-centered computing, mobile and ubiquitous computing, cyber-physical systems, and engineering education. IST hosts the ABET-accredited BS in Information Technology serving more than 2,000 students, and also oversees the MS in Applied Information Technology (AIT), the MS in Information Systems (IS), and participates in interdisciplinary programs and the IT PhD. IST's research is supported by NSF, DoD, NIH, DARPA, and other federal agencies. About the Position: The Department of Information Sciences and Technology invites applications for multiple renewable-term, non-tenure-track faculty positions at the academic rank of Assistant, Associate or Full Professor, or at the rank of Instructor, beginning Fall 2026. Candidates for this position will be expected to teach and develop undergraduate and graduate courses; participate in university, college, and departmental governance; professional and public service; advising students; and performing related instructional assignments such as supervising senior projects, student internships, and practicum. Applicants at the rank of Associate or Full Professor must have interests in outreach, curriculum development, and significant experience in an academic setting in teaching for at least six years post Ph.D. Responsibilities: Teaches at the undergraduate and/or graduate level in the classroom and/or online; As department needs dictate, develops and coordinates courses and manages adjunct faculty and graduate teaching assistants; Participates in student advising; and Performs other departmental/university service duties and serves the profession. Required Qualifications: Applicants for the position of Assistant/Associate or Full Professor must have received a Ph.D. in Information Sciences, Information Technology, Computer Science, or related field; Senior applicants for Associate Professor or Professor positions should also have an established record of teaching experience;' Applicants who have received an MS/MA in the fields listed above or an MBA/MPA with a significant portion of the program devoted to Information Technology will be considered for Instructor positions; and Demonstrated potential for excellence in teaching. Preferred Qualifications: Applicants in all areas of Information Science and Technology, computing, and related areas will be given full consideration. We are particularly interested in applicants in the areas of Artificial Intelligence (including Generative AI & LLM, Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, Information System Design, Databases, Web Application Development and Programming, Operating Systems, Project Management, and Senior Design Capstone. Strong applicants from other areas are encouraged to apply and will also be considered; Related industry and/or teaching experience, preferably both; Administrative and/or managerial experience; and Ability to build collaborations with other departments within the College and across the University. Instructions to Applicants: For full consideration, applicants must apply for the Open-Rank, Term Information Sciences and Technology Faculty at Complete and submit the online application to include three professional references with contact information; and upload 1) a cover letter, 2) complete CV with publications, 3) statement of professional goals including your perspective on teaching (upload as Philosophy of Teaching), 4) research statement (optional), and 5) transcript (optional). Review of applications will continue until the position is filled. Posting Open Date: December 10, 2025 For Full Consideration, Apply by: January 19, 2026 Open Until Filled: Yes A Force for Innovation in the Heart of Northern Virginia's Technology Corridor About the College The College of Engineering and Computing (CEC) at George Mason University is a fast-growing force for innovation in research and education. Ranked nationally in the top 100 in both undergraduate and graduate education, the CEC enrolled a record high of 10,933 students in fall 2023. The college has 34 undergraduate, master's, and doctoral degree programs including several first-in-the-nation offerings. Of its 320 full-time faculty, 93 are tenured, 77 are tenure-track, 90 are term faculty, and 60 are research faculty. As part of a nationally ranked research university, CEC research teams expended $65 million in sponsored research awards in the past year and had projects with over $119 million in current and anticipated awards. The college stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, healthcare, autonomous systems, 5G/Next G communications, systems architecture, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more. The college encourages and supports multidisciplinary research and provides ample opportunity for faculty to work with other disciplines. About the University and the Region George Mason University is the largest and most diverse public research university in Virginia, with an enrollment of more than 40,000 students studying in over 200 degree programs. Mason is an innovative, entrepreneurial institution with national distinction in a range of academic fields. It was classified as an R1 research institution in 2016 by the Carnegie Classifications of Institutes of Higher Education. The university has campuses in Fairfax, Arlington, and Prince William County. Its proximity to Washington, D.C. provides unmatched geographical access to federal agencies and national laboratories. Northern Virginia is also home to one of the largest concentrations of high-tech firms in the nation, providing excellent opportunities for interaction with industry. The region is consistently rated as being among the best places to live in the country and has an outstanding local public school system. About the Future In conjunction with Amazon's decision to establish a second headquarters in Northern Virginia, the Commonwealth of Virginia announced a multi-year plan to invest in the growth of degree programs in computing. As a result, Mason has committed to accelerate its plans to grow its capacity in computing and high-tech fields. Among the university's exciting initiatives are the launch of the Institute for Digital Innovation-a university think tank and incubator to serve the digital economy-and the expansion of Mason Square, home to its Arlington facilities. In 2025, Fuse, a new 355,000 square foot building, will open to students, faculty, and research teams. This net-zero facility will house the Institute for Digital Innovation, state-of the-art classrooms, labs, and collaborative spaces. It will also include retail space, and leasing opportunities for local businesses. These initiatives reflect hundreds of millions of dollars in new investment by Mason that will rapidly elevate the university's already leading national position in computing and related areas.
Now Brewing - Data Science Managers! From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others. As a Data Science Manager, you'll lead a team of data scientists, decision scientists, and analysts to build models and apply advanced analytics to solve complex business problems. You'll coach partners in technical and career development, set standards and best practices, and ensure insights and machine learning solutions are scalable, measurable, and adopted into business workflows. As a Data Science Manager, you will Lead and develop a high-performing team by coaching, creating development plans, and building a culture of strong execution, collaboration, and continuous learning. Drive end-to-end data science delivery from problem framing and data preparation through modeling, performance assessment, and operationalization of insights/models. Set and scale best practices across coding standards, version control, documentation, data security, and analytics/engineering practices-removing roadblocks and aligning cross-functional partners. We'd love to hear from people with: BA/BS (or equivalent experience) 5-7+ years of experience in data science, analytics, or a closely related field Proficiency with Python or R, SQL, and relational databases Working knowledge of machine learning/statistical techniques (e.g., regression, decision trees, classification, causal inference, clustering) Experience with cloud data/analytics solutions (e.g., Azure or AWS) Experience managing and coaching a team, with strong written/verbal communication skills and attention to detail Preferred qualifications MS in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science) or equivalent advanced experience 8+ years managing a small team (approximately 2-4 people) and developing technical talent Experience with production ML practices (shared codebases, package creation, repositories, SDLC best practices), plus distributed processing/modern platforms (e.g., Databricks or similar) Experience with hyperparameter tuning and ongoing model performance monitoring (measurement, drift, stability) As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire , sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor's degree through Arizona State University's online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above. The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. We believe we do our best work when we're together, which is why we're onsite four days a week. Join us and inspire with every cup. Apply today! Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at or .
07/02/2026
Full time
Now Brewing - Data Science Managers! From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others. As a Data Science Manager, you'll lead a team of data scientists, decision scientists, and analysts to build models and apply advanced analytics to solve complex business problems. You'll coach partners in technical and career development, set standards and best practices, and ensure insights and machine learning solutions are scalable, measurable, and adopted into business workflows. As a Data Science Manager, you will Lead and develop a high-performing team by coaching, creating development plans, and building a culture of strong execution, collaboration, and continuous learning. Drive end-to-end data science delivery from problem framing and data preparation through modeling, performance assessment, and operationalization of insights/models. Set and scale best practices across coding standards, version control, documentation, data security, and analytics/engineering practices-removing roadblocks and aligning cross-functional partners. We'd love to hear from people with: BA/BS (or equivalent experience) 5-7+ years of experience in data science, analytics, or a closely related field Proficiency with Python or R, SQL, and relational databases Working knowledge of machine learning/statistical techniques (e.g., regression, decision trees, classification, causal inference, clustering) Experience with cloud data/analytics solutions (e.g., Azure or AWS) Experience managing and coaching a team, with strong written/verbal communication skills and attention to detail Preferred qualifications MS in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science) or equivalent advanced experience 8+ years managing a small team (approximately 2-4 people) and developing technical talent Experience with production ML practices (shared codebases, package creation, repositories, SDLC best practices), plus distributed processing/modern platforms (e.g., Databricks or similar) Experience with hyperparameter tuning and ongoing model performance monitoring (measurement, drift, stability) As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire , sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor's degree through Arizona State University's online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above. The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. We believe we do our best work when we're together, which is why we're onsite four days a week. Join us and inspire with every cup. Apply today! Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at or .
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
07/02/2026
Full time
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
07/02/2026
Full time
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
07/02/2026
Full time
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
07/02/2026
Full time
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
07/02/2026
Full time
Job Description The Role and Impact We are seeking a Senior Strategic Program Leader to drive the next generation of Yield and Defect Engineering transformation within a high-volume semiconductor manufacturing environment. This role goes beyond traditional engineering leadership serving as a catalyst for AI-driven innovation, enterprise scale program execution, and cross-functional alignment. You will lead a multidisciplinary organization responsible for advancing defect metrology, yield engineering systems, and AI-enabled decision intelligence, ensuring the factory operates with predictive, adaptive, and scalable capabilities. Your leadership will directly shape how data, automation, and artificial intelligence are embedded into daily operations to accelerate yield learning, improve cycle time, and increase productivity. As a key member of the technology and manufacturing leadership team, you will define long-term strategy, influence roadmaps across process integration and metrology, and drive execution of complex, high-impact programs that position the organization for future technology nodes and advanced packaging innovations. Key Responsibilities Strategic Leadership and Transformation: Define and execute a multi-year strategy for Yield and Defect Engineering, integrating AI/ML, automation, and digital transformation into core workflows. Lead enterprise-level programs to transition from reactive analysis to predictive and prescriptive yield management systems. Serve as a thought leader in AI adoption for semiconductor manufacturing, identifying high-value use cases and scaling solutions across sites. AI-Driven Productivity and Decision Intelligence: Champion the deployment of AI/Agentic AI solutions to enhance defect detection, classification, excursion prevention, and root cause analysis. Drive integration of data platforms, digital twins, and advanced analytics into yield and defect systems. Partner with data science, IT, and automation teams to embed real-time decision intelligence into fab operations. Operational Excellence and Yield Performance: Oversee yield performance across development and high-volume manufacturing, ensuring alignment to aggressive yield, quality, and delivery targets. Lead cross-functional efforts to resolve complex yield limiters and defect excursions, minimizing impact to supply. Institutionalize closed-loop learning systems that accelerate yield ramp and improve defect pareto convergence. Defect Metrology and Systems Leadership: Define and evolve defect metrology strategy, including tool selection, capability roadmaps, and system architecture. Lead development of scalable defect management systems that enable early detection, excursion containment, and predictive risk mitigation. Ensure alignment of inspection, review, classification, and analytics ecosystems with future technology requirements Program Execution and Stakeholder Influence: Drive large-scale, cross-site programs requiring alignment across process integration, manufacturing, equipment, and corporate strategy teams. Operate across multiple disciplines translating executive vision into clear roadmaps, measurable milestones, and disciplined execution. Influence senior stakeholders and executives to align investments, priorities, and organizational focus. Organization and Talent Leadership: Build and lead a high-performing, diverse organization, fostering a culture of innovation, accountability, and continuous learning. Develop next-generation leaders with capabilities spanning engineering depth, data science, and AI fluency. Champion a shift from individual based to scalable, system-driven excellence. Qualifications Minimum Qualifications • Bachelor's degree in Engineering, Physics, Materials Science, Data Science, or related field (advanced degree preferred). • 12+ years of experience in semiconductor manufacturing with deep expertise in yield engineering, defect metrology, or process integration. • Proven track record leading complex, cross-functional programs in high-volume manufacturing environments. • Demonstrated experience driving yield improvement and defect reduction at scale, including ramp and HVM phases. • Strong domain expertise in defect metrology tools, inspection systems, and yield analysis methodologies. • Experience integrating data analytics, machine learning, or AI solutions into engineering workflows. • Exceptional leadership and communication skills with ability to influence across organizational boundaries. Preferred Qualifications • Advanced degree (MS/PhD) in a relevant technical or data-centric discipline. • Experience leading AI/ML transformation initiatives in semiconductor or adjacent high-tech industries. • Familiarity with digital manufacturing ecosystems (data platforms, MES integration, advanced analytics tools). • Track record of defining and scaling enterprise-level engineering systems or platforms. • Strong business acumen with ability to connect technical outcomes to cost, cycle time, and revenue impact. • Experience in advanced packaging technologies (e.g., Foveros, EMIB, heterogeneous integration) is a plus. Join our team and be part of shaping the future of technology through your leadership and expertise. Apply today to make an impact. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $252,840.00-$356,950.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
