Vice President, AI for Technology and Products

Role Overview

• Own and execute the end-to-end AI strategy across Technology and Products, aligned to business priorities and delivered in close partnership with enterprise stakeholders—driving measurable improvements in productivity, quality, and cycle time.
• Lead AI-enabled and software engineering transformation across the full technology-to-product lifecycle, including agentic workflows, simulation-driven decision-making, predictive analytics, and closed-loop learning systems that accelerate execution and improve first-time-right outcomes.
• Drive and integrate cross-functional AI initiatives spanning: New DRAM, NAND, and Advanced Packaging Technology Silicon Design for Memory and Logic End-to-End Silicon Life Cycle Engineering DRAM Module and SSD Development Engineering Productivity Platforms and AI solutions.
• Architect, implement, and scale enterprise-grade Engineering AI platforms and engineering software solutions that support core workflows and mission-critical use cases, with strong foundations in security, reliability, and governance.
• Provide AI technology leadership and pathfinding, maintaining an external perspective on emerging AI innovations and translating advanced capabilities into practical, high-impact engineering solutions.
• Build and lead a robust external AI ecosystem, establishing strategic partnerships with leading AI companies, EDA vendors, academic institutions, and emerging startups.
• Establish clear value realization and accountability, defining success metrics, tracking benefits, and providing executive-level reporting for AI investments.
• Foster AI upskilling and an AI-driven culture across all global TPG functions, enabling broad adoption while ensuring responsible and secure use of AI technologies.
• Partner closely with the Micron AI Steering Committee and the Transformation Officer to shape and execute a coherent, company-wide AI strategy.

Requirements

• Senior executive leadership experience driving AI, data, or advanced analytics at enterprise scale.
• Proven track record delivering measurable productivity and cycle time improvements in complex engineering or product development environments.
• Deep understanding of AI/ML technologies and platforms with the ability to translate strategy into scalable execution.
• Background in semiconductor technology, silicon design, hardware, software, manufacturing, or systems-level engineering environments.
• Experience establishing governance, security, and compliance frameworks in regulated enterprise environments.
• Strong executive presence with the ability to influence across functions and levels.
• Experience leading large, globally distributed technical organizations.
• Demonstrated success balancing innovation with enterprise risk management.

Benefits

• Health insurance
• Paid family leave
• Paid time-off program
• Paid holidays