Middle River Aerostructure Systems
Baltimore, Maryland
Position Title: Cost and Contract Manager Location: Baltimore, MD, US, 21220 Company Name: STENA Description: Who YOU are and what YOU can become As the Cost & Contracts Manager, you will strategically develop and execute on cost out initiatives within the direct supply base, as well as ensure that parts are maintained on long-term agreements. You would encompass ownership of activities such as; bid list development, technical data package collection, RFP/RFQ, cost analysis, price and contract negotiation, compliance documentation drafting, deal review approvals and contract finalization. Who WE are and where WE are going At ST Engineering MRAS, our employees have amazing opportunities to work on advanced technologies and systems that support thousands of customers and millions of people worldwide every day. From the first flight across the Pacific Ocean to developing highly complex structures for the most popular aircraft in the world, we have come a long way always with a can-do approach to problem solving while delighting customers with our high say-do ratio. We are looking for people with innovative ideas and the drive to help us grow into the future. A pioneer in the production and assembly of complex aerostructures including aircraft and rocket components, engine nacelle systems, thrust reversers and advanced composite products, we apply the latest digital technologies and automation in composite design and manufacturing that are second to none. At ST Engineering MRAS, we are also rapidly augmenting our maintenance, repair and overhaul (MRO) capabilities leveraging the company's expanded aircraft nacelle portfolio as well as it's materials and processing expertise. What YOU will do Manage and track long term agreements with suppliers Develop a strategy for expiring long term agreements Identify opportunities to cut costs through competitive bids, establish long term agreements, and identify new sources of supply Manage contract negotiation process Present potential agreements to senior leadership and stakeholders Manage transition to new suppliers with sourcing, quality, and engineering teams Effectively communicate with Program Management & Finance to assure quality financial models and risk are captured for the program Lead or participate in organizational efforts in assigned projects and / or tasks Assure proper documentation of technical data generated for assigned projects / tasks are compliant with policies and procedures Foster and inspire a collaborative work style and display team-oriented behavior with a proactive example of communication internally and externally Stay up-to-date with industry best practices and emerging trends in pricing models and pricing optimization techniques Provide guidance and support to commodity buyers, fostering a collaborative and high-performing team environment What YOU must bring to Succeed Bachelor's degree in Business Administration, Supply Chain/Logistics, Engineering, Physics, Chemistry, Mathematics, or Computer Science, or equivalent experience with 5+ years of supply chain experience in aerospace. This position involves access to export-controlled technology which requires U.S. Person status or government authorization. A 'U.S. Person,' as defined by 22 C.F.R. 120.62, includes U.S. citizens, U.S. nationals, individuals lawfully admitted for permanent residence (green card holders), and individuals granted asylum or refugee status in the United States. To be considered for this position, you must either be a U.S. Person or fall within a legally recognized export control exception or authorization. If hired, you will be required to provide valid proof of such status. Desired Characteristics Advanced Degree in Engineering from an accredited university or college Previous experience in Aviation engines / systems / aircraft Previous experience working with Finance or with financial models Ability to effectively manage multiple project responsibilities Previous experience in driving operational excellence and continuous improvement Clear communication and strong interpersonal skills At ST Engineering MRAS, we offer great rewards, competitive pay, career advancement and growth opportunities. Estimate salary range for this role: $88,200 to $127,300 per year. ST Engineering MRAS considers several factors with extending job offers, including but not limited to candidates' key skills, relevant work experience, education/training/certification, job level, and work location. Base salary is only one component of our competitive Total Rewards package. ST Engineering - MRAS Benefits: As a full-time employee of ST Engineering- MRAS, you are eligible for our benefits package including: Medical, Dental, and Vision coverage starting from start date Health Flexible Spending Accounts Free Onsite Gym with weekly fitness classes Immediate 401k vesting Educational Assistance Life Insurance Paid Time off (Permissive for exempt staff) Employment Notice: Background and Drug Screening Requirements As part of our commitment to maintaining a safe and secure workplace, successful completion of a background check and drug screening is a mandatory condition for employment. All offers of employment are contingent upon satisfactory results from these screenings. It takes diverse talent to solve real-world problems. ST Engineering is deeply committed to building a workplace community where inclusion is valued, and everyone feels welcomed. We're proud to consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, family status, marital status, sexual orientation, national origin, disability, age, or veteran status, or any other legally protected grounds. So, bring us your personal experience, your perspectives, and your background. It's through our differences that innovative changes are made. ST Engineering is committed to providing reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please contact our Talent Strategies team at , or by email at . PM19 Nearest Major Market: Baltimore Compensation details: 00 Yearly Salary PI2f98d3f5-
08/11/2026
Full time
Position Title: Cost and Contract Manager Location: Baltimore, MD, US, 21220 Company Name: STENA Description: Who YOU are and what YOU can become As the Cost & Contracts Manager, you will strategically develop and execute on cost out initiatives within the direct supply base, as well as ensure that parts are maintained on long-term agreements. You would encompass ownership of activities such as; bid list development, technical data package collection, RFP/RFQ, cost analysis, price and contract negotiation, compliance documentation drafting, deal review approvals and contract finalization. Who WE are and where WE are going At ST Engineering MRAS, our employees have amazing opportunities to work on advanced technologies and systems that support thousands of customers and millions of people worldwide every day. From the first flight across the Pacific Ocean to developing highly complex structures for the most popular aircraft in the world, we have come a long way always with a can-do approach to problem solving while delighting customers with our high say-do ratio. We are looking for people with innovative ideas and the drive to help us grow into the future. A pioneer in the production and assembly of complex aerostructures including aircraft and rocket components, engine nacelle systems, thrust reversers and advanced composite products, we apply the latest digital technologies and automation in composite design and manufacturing that are second to none. At ST Engineering MRAS, we are also rapidly augmenting our maintenance, repair and overhaul (MRO) capabilities leveraging the company's expanded aircraft nacelle portfolio as well as it's materials and processing expertise. What YOU will do Manage and track long term agreements with suppliers Develop a strategy for expiring long term agreements Identify opportunities to cut costs through competitive bids, establish long term agreements, and identify new sources of supply Manage contract negotiation process Present potential agreements to senior leadership and stakeholders Manage transition to new suppliers with sourcing, quality, and engineering teams Effectively communicate with Program Management & Finance to assure quality financial models and risk are captured for the program Lead or participate in organizational efforts in assigned projects and / or tasks Assure proper documentation of technical data generated for assigned projects / tasks are compliant with policies and procedures Foster and inspire a collaborative work style and display team-oriented behavior with a proactive example of communication internally and externally Stay up-to-date with industry best practices and emerging trends in pricing models and pricing optimization techniques Provide guidance and support to commodity buyers, fostering a collaborative and high-performing team environment What YOU must bring to Succeed Bachelor's degree in Business Administration, Supply Chain/Logistics, Engineering, Physics, Chemistry, Mathematics, or Computer Science, or equivalent experience with 5+ years of supply chain experience in aerospace. This position involves access to export-controlled technology which requires U.S. Person status or government authorization. A 'U.S. Person,' as defined by 22 C.F.R. 120.62, includes U.S. citizens, U.S. nationals, individuals lawfully admitted for permanent residence (green card holders), and individuals granted asylum or refugee status in the United States. To be considered for this position, you must either be a U.S. Person or fall within a legally recognized export control exception or authorization. If hired, you will be required to provide valid proof of such status. Desired Characteristics Advanced Degree in Engineering from an accredited university or college Previous experience in Aviation engines / systems / aircraft Previous experience working with Finance or with financial models Ability to effectively manage multiple project responsibilities Previous experience in driving operational excellence and continuous improvement Clear communication and strong interpersonal skills At ST Engineering MRAS, we offer great rewards, competitive pay, career advancement and growth opportunities. Estimate salary range for this role: $88,200 to $127,300 per year. ST Engineering MRAS considers several factors with extending job offers, including but not limited to candidates' key skills, relevant work experience, education/training/certification, job level, and work location. Base salary is only one component of our competitive Total Rewards package. ST Engineering - MRAS Benefits: As a full-time employee of ST Engineering- MRAS, you are eligible for our benefits package including: Medical, Dental, and Vision coverage starting from start date Health Flexible Spending Accounts Free Onsite Gym with weekly fitness classes Immediate 401k vesting Educational Assistance Life Insurance Paid Time off (Permissive for exempt staff) Employment Notice: Background and Drug Screening Requirements As part of our commitment to maintaining a safe and secure workplace, successful completion of a background check and drug screening is a mandatory condition for employment. All offers of employment are contingent upon satisfactory results from these screenings. It takes diverse talent to solve real-world problems. ST Engineering is deeply committed to building a workplace community where inclusion is valued, and everyone feels welcomed. We're proud to consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, family status, marital status, sexual orientation, national origin, disability, age, or veteran status, or any other legally protected grounds. So, bring us your personal experience, your perspectives, and your background. It's through our differences that innovative changes are made. ST Engineering is committed to providing reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please contact our Talent Strategies team at , or by email at . PM19 Nearest Major Market: Baltimore Compensation details: 00 Yearly Salary PI2f98d3f5-
Job Description About the Role & Team: Walt Disney Imagineering is the creative force that imagines, designs, and brings to life all Disney theme parks, resorts, attractions, and cruise ships worldwide. Working across a spectrum of disciplines that range from creative and conceptual to scientific and technical, Imagineers blend an innovative mixture of storytelling, art, science, and technology to create immersive experiences, memorable destinations, and innovative entertainment for families around the globe. Nearly every project at Walt Disney Imagineering includes a first-of-its-kind. Innovation is in our DNA, and Imagineers constantly push the boundaries of technology and invent new goals as well as the solutions to achieve them. As Imagineers, one of our greatest rewards is knowing that the experiences and environments we create inspire others. The diversity of expertise at Imagineering makes us uniquely capable of influencing positive change in our communities and around the world. And knowing that we have helped make a difference is incredibly fulfilling and inspiring for all of us. The systems and workflows that support project estimating, budgeting, and scope definition are foundational to how Imagineering plans, aligns, and delivers world-class experiences. We're looking for a passionate, strategic product leader to drive products dedicated to how WDI estimates, budgets, defines, structures, and manages the scope of our projects across the full lifecycle of design and delivery. This Product Manager, Principal will drive and deliver software products, functions, and workflows for our internally used Imagineering product portfolio focused on estimating and scope management. This individual will be responsible for shepherding product investments across both buy and build solutions, working alongside product peers, technical program managers, software engineers, designers, estimators, project managers, production teams, and executive stakeholders. This role will help shape the future of how WDI models project cost, develops estimating confidence, structures scope, catalogs scope elements, and connects scope data from the macro level of experience definition down to the micro level of individual bought and fabricated components. This role will also help identify where AI can responsibly improve estimating quality, workflow speed, data usability, and decision support across these domains. We need someone who can communicate a clear product vision, deeply understand the operational realities of project design, execution, and delivery, and create strong partnerships that make these systems useful, scalable, and trusted within our creative-first business. You will report to the Product Executive - WDI Apps. This is a Full-Time role. What You Will Do: Drive product direction and implementation for estimating and scope management products within Imagineering, including capabilities that leverage AI to improve speed, insight, and decision support. Define product strategy for systems and workflows that support estimating, budgeting, forecasting, scope generation, scope cataloging, scope change management, and AI-assisted analysis across project phases. Advocate as the voice of the Imagineer, estimator, planner, and delivery team member, placing grounded problem-solving before solutioning and exemplifying WDI's core design and delivery principles. Partner with stakeholders across estimating, project management, production, engineering, design, sourcing, finance, and technology to identify needs, pain points, dependencies, and opportunities for transformation, including where AI can augment workflows in practical and trusted ways. Draft product requirements, user research, user stories, process models, taxonomies, mockups, product memos, presentations, roadmaps, and other pertinent strategy materials. Guide product development for systems that define and manage project scope from high-level experience structures through detailed assemblies, systems, parts, packages, and fabricated or procured components, including AI-enabled approaches to classification, structuring, retrieval, and analysis. Evaluate and lead buy-versus-build product decisions, helping identify where market solutions can accelerate value and where custom functionality, data models, or AI-enabled workflows are required to meet unique WDI needs. Collaborate with software engineering, product design, technical program management, finance, sourcing, legal, and data partners to deliver product capabilities that are reliable, usable, scalable, and aligned to responsible AI practices. Present product vision, roadmap direction, demos, and delivery progress to senior leadership and key stakeholders, building alignment and confidence around strategic investments in estimating and scope management platforms. Drive the annual investment and funding strategy for product functions and features within the estimating and scope management portfolio, including capabilities that improve automation, prediction, and decision-making through AI. Required Qualifications: 10+ years of software product management experience Expertise with complex enterprise product ecosystems and operational workflows, particularly those supporting planning, costing, delivery, or systems of record. Expertise with 0-1 software development. You can craft clarity, starting from the blank page, while also evolving existing tools and workflows over time. Excellent communication skills: written, verbal, and presentational. You can communicate across mediums and across levels of the organization. Demonstrated ability to translate highly complex business processes into clear product direction, requirements, and phased delivery plans. Strong cross-functional leadership and stakeholder management skills, with experience aligning technical teams and business operators around shared outcomes. Experience evaluating where automation, intelligence, or AI can meaningfully improve user workflows, data interpretation, or decision-making in enterprise software environments. Passion for solving problems within creative and entertainment cultures. You love the output of what we do: design and deliver immersive, world-class experiences. Desire to work on internal technologies used by Imagineers (not consumer-facing). You care deeply about the craft, rigor, and coordination required behind the scenes. Preferred Qualifications: Experience with estimating, budgeting, cost modeling, forecasting, or financial planning systems in capital project, construction, manufacturing, design, or related environments. Experience with product domains related to scope management, configuration management, bill of materials, asset hierarchies, package planning, or parts and component tracking. Recent experience with AI-enabled product capabilities, user patterns, or enterprise AI workflows, especially those related to prediction, classification, summarization, search, recommendation, or decision support. Experience evaluating and implementing both commercial software platforms and custom-built internal tools. Familiarity with project delivery, design development, fabrication, procurement, and installation workflows. Experience with data models, taxonomies, and structured information systems used to organize complex project scope. Experience with microservice ecosystems and component-based web apps. Education: Bachelor's degree in computer science, computer engineering, media management, or an engineering or science discipline required, or equivalent experience. Master's degree preferred. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/10/2026
Full time
Job Description About the Role & Team: Walt Disney Imagineering is the creative force that imagines, designs, and brings to life all Disney theme parks, resorts, attractions, and cruise ships worldwide. Working across a spectrum of disciplines that range from creative and conceptual to scientific and technical, Imagineers blend an innovative mixture of storytelling, art, science, and technology to create immersive experiences, memorable destinations, and innovative entertainment for families around the globe. Nearly every project at Walt Disney Imagineering includes a first-of-its-kind. Innovation is in our DNA, and Imagineers constantly push the boundaries of technology and invent new goals as well as the solutions to achieve them. As Imagineers, one of our greatest rewards is knowing that the experiences and environments we create inspire others. The diversity of expertise at Imagineering makes us uniquely capable of influencing positive change in our communities and around the world. And knowing that we have helped make a difference is incredibly fulfilling and inspiring for all of us. The systems and workflows that support project estimating, budgeting, and scope definition are foundational to how Imagineering plans, aligns, and delivers world-class experiences. We're looking for a passionate, strategic product leader to drive products dedicated to how WDI estimates, budgets, defines, structures, and manages the scope of our projects across the full lifecycle of design and delivery. This Product Manager, Principal will drive and deliver software products, functions, and workflows for our internally used Imagineering product portfolio focused on estimating and scope management. This individual will be responsible for shepherding product investments across both buy and build solutions, working alongside product peers, technical program managers, software engineers, designers, estimators, project managers, production teams, and executive stakeholders. This role will help shape the future of how WDI models project cost, develops estimating confidence, structures scope, catalogs scope elements, and connects scope data from the macro level of experience definition down to the micro level of individual bought and fabricated components. This role will also help identify where AI can responsibly improve estimating quality, workflow speed, data usability, and decision support across these domains. We need someone who can communicate a clear product vision, deeply understand the operational realities of project design, execution, and delivery, and create strong partnerships that make these systems useful, scalable, and trusted within our creative-first business. You will report to the Product Executive - WDI Apps. This is a Full-Time role. What You Will Do: Drive product direction and implementation for estimating and scope management products within Imagineering, including capabilities that leverage AI to improve speed, insight, and decision support. Define product strategy for systems and workflows that support estimating, budgeting, forecasting, scope generation, scope cataloging, scope change management, and AI-assisted analysis across project phases. Advocate as the voice of the Imagineer, estimator, planner, and delivery team member, placing grounded problem-solving before solutioning and exemplifying WDI's core design and delivery principles. Partner with stakeholders across estimating, project management, production, engineering, design, sourcing, finance, and technology to identify needs, pain points, dependencies, and opportunities for transformation, including where AI can augment workflows in practical and trusted ways. Draft product requirements, user research, user stories, process models, taxonomies, mockups, product memos, presentations, roadmaps, and other pertinent strategy materials. Guide product development for systems that define and manage project scope from high-level experience structures through detailed assemblies, systems, parts, packages, and fabricated or procured components, including AI-enabled approaches to classification, structuring, retrieval, and analysis. Evaluate and lead buy-versus-build product decisions, helping identify where market solutions can accelerate value and where custom functionality, data models, or AI-enabled workflows are required to meet unique WDI needs. Collaborate with software engineering, product design, technical program management, finance, sourcing, legal, and data partners to deliver product capabilities that are reliable, usable, scalable, and aligned to responsible AI practices. Present product vision, roadmap direction, demos, and delivery progress to senior leadership and key stakeholders, building alignment and confidence around strategic investments in estimating and scope management platforms. Drive the annual investment and funding strategy for product functions and features within the estimating and scope management portfolio, including capabilities that improve automation, prediction, and decision-making through AI. Required Qualifications: 10+ years of software product management experience Expertise with complex enterprise product ecosystems and operational workflows, particularly those supporting planning, costing, delivery, or systems of record. Expertise with 0-1 software development. You can craft clarity, starting from the blank page, while also evolving existing tools and workflows over time. Excellent communication skills: written, verbal, and presentational. You can communicate across mediums and across levels of the organization. Demonstrated ability to translate highly complex business processes into clear product direction, requirements, and phased delivery plans. Strong cross-functional leadership and stakeholder management skills, with experience aligning technical teams and business operators around shared outcomes. Experience evaluating where automation, intelligence, or AI can meaningfully improve user workflows, data interpretation, or decision-making in enterprise software environments. Passion for solving problems within creative and entertainment cultures. You love the output of what we do: design and deliver immersive, world-class experiences. Desire to work on internal technologies used by Imagineers (not consumer-facing). You care deeply about the craft, rigor, and coordination required behind the scenes. Preferred Qualifications: Experience with estimating, budgeting, cost modeling, forecasting, or financial planning systems in capital project, construction, manufacturing, design, or related environments. Experience with product domains related to scope management, configuration management, bill of materials, asset hierarchies, package planning, or parts and component tracking. Recent experience with AI-enabled product capabilities, user patterns, or enterprise AI workflows, especially those related to prediction, classification, summarization, search, recommendation, or decision support. Experience evaluating and implementing both commercial software platforms and custom-built internal tools. Familiarity with project delivery, design development, fabrication, procurement, and installation workflows. Experience with data models, taxonomies, and structured information systems used to organize complex project scope. Experience with microservice ecosystems and component-based web apps. Education: Bachelor's degree in computer science, computer engineering, media management, or an engineering or science discipline required, or equivalent experience. Master's degree preferred. Additional Information: Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at The hiring range for this position in Orlando, FL is $179,500.00-$240,600.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
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.
08/04/2026
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.
08/04/2026
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.
08/04/2026
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.
08/04/2026
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.
08/04/2026
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.
