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Enterprise AI Platform Governance & Operations Lead

Job in Fremont, Alameda County, California, 94537, USA
Listing for: Lam Research Salzburg GmbH
Full Time position
Listed on 2026-08-13
Job specializations:
  • IT/Tech
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 125000 - 270000 USD Yearly USD 125000.00 270000.00 YEAR
Job Description & How to Apply Below

In your career, let’s prove what’s possible.

At Lam Research, we create equipment that drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible.

Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.

The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities.

Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.

Date:
Jul 11, 2026

Location:

Fremont, CA, US, 94538

Worker Category:
On-site Flex

The group you’ll be a part of

The Enterprise AI team helps Lam scale responsible, secure, and high-value use of AI across the company. The team works across enterprise AI platforms, developer tools, data and knowledge platforms, observability, adoption, and governance to enable teams to build and use AI capabilities with confidence.

The Office of the CTO is where innovation takes center stage. We inspire our global technical community to take on grand challenges, understand emerging trends, identify the critical inflections, and drive our sustainability, Environment, Social, and Governance (ESG) practices that will define the next generation of semiconductors and continued impact.

The impact you’ll make

In this role, you will directly contribute to Lam’s enterprise AI strategy by helping shape how AI platforms are governed, operated, adopted, and scaled across the company. You will 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.

What you’ll do
  • Lead cross-functional programs for enterprise AI platforms, including AI governance, platform operations, adoption, change management, and lifecycle management.
  • Help define and operationalize standards for responsible AI usage, access management, data handling, observability, compliance, and platform best practices.
  • Partner with technical teams to support well-architected platform setup and operations across tools such as Azure AI Foundry, Git Hub Copilot, Langfuse, Neo4j, M365 AI capabilities, Dash Enterprise, and related AI platforms.
  • Drive adoption and enablement for AI capabilities by creating clear operating models, communications, training plans, user engagement, and feedback loops.
  • Establish program metrics, governance forums, intake processes, roadmaps, and reporting to improve visibility, prioritization, and executive decision-making.
  • Support AI Fin Ops practices, including usage tracking, cost optimization, licensing visibility, and value measurement.
  • Identify risks and operational gaps across AI tools and workflows, then partner with stakeholders to drive scalable solutions.
  • Work in an onsite-flex model with collaboration across global teams.
Who we’re looking for

Minimum 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…
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