Director, TPG AI Program Management - Micron Technology

OpenTalent; San Jose (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Micron Technology is expanding its AI initiative leadership to drive strategic AI portfolio governance and cross-functional execution. The Director, TPG AI Program Management will partner with senior leaders to align AI investments with multi-year business outcomes and value realization, while building scalable operating models across the global AI ecosystem.

The role emphasizes disciplined execution, governance, and collaboration with engineering, finance, and operations to deliver measurable

Qualifications

• Experience shaping AI portfolios with governance and roadmaps.
• Strong cross-functional collaboration with senior leaders.
• Ability to develop executive-level reporting and metrics.
• Experience in resource planning and long-range planning.

Responsibilities

• Define and manage the TPG AI portfolio, including priorities, roadmaps, governance, risks, dependencies, and executive decision points.
• Collaborate with senior leaders and cross-functional teams to align AI investments with business outcomes, engineering transformation priorities, and multi-year value goals.
• Develop executive reporting, performance indicators, and value realization frameworks that link AI initiatives to business outcomes.
• Collaborate with Finance and Business Operations on resource planning, case development, capacity modeling, and long-range planning.

Skills

Portfolio management

Governance

Cross-functional collaboration

Executive reporting

AI strategy

Job description

Our vision is to transform how the world uses information to enrich life for all .

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

We are rapidly growing the Technology and Product Group (TPG) AI organization to drive responsible AI adoption and unlock measurable business value across the organization. We work alongside engineering, data science, IT, finance, and business operations to convert AI strategy into scalable action, helping teams innovate faster, boost efficiency, and deliver meaningful business outcomes.

The Director, TPG AI Program Management is a key leadership role responsible for crafting and implementing TPG’s AI transformation agenda. This position combines strategic portfolio leadership, operational excellence, and cross-functional collaboration to drive alignment, governance, and value realization across a global AI ecosystem. The ideal candidate thrives in sophisticated environments, builds scalable operating models, and delivers measurable results through disciplined execution.

AI & Intelligent Systems

As part of Micron’s ongoing digital transformation, this role includes a strong expectation that engineers bring (or actively develop) capabilities in AI-enabled software development, including:

• Practical experience or solid grounding in integrating AI/ML capabilities into applications, including bringing to bear large language models (LLMs) and advanced inference services.
• Familiarity with agentic architectures—designing and orchestrating autonomous or semi-autonomous software agents that can reason, plan, and complete multi-step workflows.
• Experience building or integrating workflows powered by artificial intelligence, such as task decomposition, tool chaining, retrieval-augmented generation (RAG), and context-aware decision systems.
• Understanding of responsible AI principles, including model evaluation, observability, and safe deployment practices.
• Ability to find opportunities where AI and automation can meaningfully enhance business processes, developer efficiency, and user experience.

Key Responsibilities

• Define and manage the TPG AI portfolio, including priorities, roadmaps, governance, risks, dependencies, and executive decision points.
• Collaborate with senior leaders and cross-functional teams to align AI investments with business outcomes, engineering transformation priorities, and multi-year value goals.
• Develop executive reporting, performance indicators, and value realization frameworks that link AI initiatives to business outcomes.
• Collaborate with Finance and Business Operations on resource planning, case development, capacity modeling, and long-range planning.