Director

About GlobalFoundries:

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit

Summary of Role :

The Sr. Director of AI Integration will lead the end-to-end integration of AI/ML solutions across GlobalFoundries’ business, manufacturing, and enterprise functions. This role will be responsible for translating AI strategy into executable programs, embedding AI into core processes, and partnering with cross-functional leaders to scale adoption and impact. The ideal candidate blends deep technical fluency in AI/ML with strong program leadership, change management, and stakeholder engagement capabilities.

Essential Responsibilities :

• Lead enterprise-wide AI integration initiatives aligned to business priorities (e.g., yield optimization, supply chain forecasting, workforce intelligence, customer support automation).

• Collaborate with business unit and functional leaders to identify high-impact use cases, shape solution requirements, and define measurable outcomes.

• Partner with data science, platform, and engineering teams to ensure scalable architecture, deployment, and integration of AI/ML models into operational systems.

• Champion change management and user adoption strategies to drive behavioral and process shifts across functions.

• Establish governance frameworks, performance KPIs, and feedback loops to monitor effectiveness and continuously refine AI deployments.

• Drive vendor and partner evaluations where third-party solutions are needed.

• Act as a thought leader for AI enablement across GlobalFoundries, fostering a data-driven, innovation-focused culture.

Other Responsibilities:

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

Required Qualifications:

• Bachelor’s degree in Computer Science , Engineering, Data Science, or related field.

• 10+ years of experience in technology or digital transformation roles, with 4+ years leading AI/ML initiatives.

• Proven experience integrating AI solutions into enterprise systems and business processes.

• Strong understanding of AI/ML lifecycle, from model development to production deployment and monitoring.

• Ability to manage cross-functional programs, influence senior stakeholders, and drive execution in a complex matrixed organization.

• Excellent communication and storytelling skills to translate technical concepts for business audiences.

Preferred Qualifications :

• Experience in the semiconductor, advanced manufacturing, or high-tech industries.

• Master’s degree or PhD in AI/ML, Data Science, or related fields.

• Familiarity with industrial AI use cases (e.g., predictive maintenance, process control, defect detection).

• Experience with cloud platforms (e.g., Azure, AWS) and AI/ML Ops tools.

Expected Salary Range

The exact Salary will be determined based on qualifications, experience and location.

If you need a reasonable accommodation for any part of the employment process, please contact us by email at [email protected] and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.

An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.

GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.

All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law