Enterprise AI Platform Governance & Operations Lead

Lam Research - Fremont, CA

Hiring: Enterprise AI Platform Governance & Operations Lead Company: Lam Research Location: Fremont, CA Job Posted Time: 2026-09-10 03:05:30 Employment Type: On-site Target Skills & Keywords : Agile, Azure, Compliance, Foundry, GitHub, MLOps, Make, Neo4j, Scrum About the job Experience: •8+ years of experience in technical program management, enterprise technology programs, AI/ML platforms, cloud platforms, data platforms, or digital transformation. Required Skills: •Directly contribute to Lam’s enterprise AI strategy by helping shape how AI platforms are governed, operated, adopted, and scaled across the company. •Partner across IT, Security, Legal, Data, Engineering, and business teams to enable responsible AI adoption while improving platform reliability, user experience, cost transparency, and operational maturity. Qualifications: •Bachelor’s degree with 12+ years of experience; or Master’s degree with 8+ years of experience; or PhD with 5+ years of experience; or equivalent experience. •8+ years of experience in technical program management, enterprise technology programs, AI/ML platforms, cloud platforms, data platforms, or digital transformation. •Experience leading cross-functional programs across technical, security, governance, and business stakeholders. •Experience creating operating models, roadmaps, metrics, executive communications, and change management plans. •Strong communication and executive presentation skills with the ability to translate technical topics for different audiences. •Practical experience utilizing enterprise AI, generative AI, responsible AI, AI governance, MLOps, LLMOps, or AI platform operations. •Operational familiarity with platforms such as Azure AI Foundry, GitHub Copilot, Langfuse, Neo4j, Microsoft 365 Copilot, Dash Enterprise, or similar enterprise AI tools. •Practical experience utilizing governance areas such as identity and access, data protection, risk management, compliance, auditability, model/application lifecycle, or usage monitoring. •Practical experience utilizing cloud cost management, platform adoption, developer enablement, or technology change management. •Experience working in a large global enterprise or highly regulated technology environment. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!