Principal Program Manager, Global Operations AI

The group you’ll be a part of

The Global Operations Group brings information systems, facilities, supply chain, logistics, and high-volume manufacturing together to drive the engine of our global business operations. We help Lam deliver industry-leading solutions with speed and efficiency, while actively supporting the resilient and profitable growth of Lam's business.

The Global Operations AI team is a newly formed, high‑impact organization within Lam Research’s Global Operations business unit. The team is responsible for defining, continuously evolving, and deploying the AI/ML/Automation roadmap across Global Operations in close partnership with Lam’s Enterprise AI office. Our mission is to drive measurable business outcomes by scaling AI‑enabled solutions across Lam’s global operations ecosystem.

The impact you’ll make

We are seeking a Principal Program Management Lead to own the end‑to‑end coordination, governance, and execution cadence of the Global Operations AI portfolio. This role provides portfolio‑level leadership across all GOPs AI initiatives, ensuring disciplined intake, prioritization, execution tracking, financial transparency, and value realization across a growing set of AI deployments and builds.

What you’ll do

AI Portfolio & Program Leadership

• Own the integrated GOPs AI portfolio, coordinating across all AI/ML/Automation initiatives, deployments, and builds.
• Establish and run standardized use case intake, evaluation, prioritization, and sequencing processes in partnership with Global Operations leaders and the Enterprise AI office.
• Maintain portfolio level visibility into roadmap status, milestones, dependencies, risks, and resource alignment.
• Drive execution rigor across initiatives by aligning individual program plans into a cohesive portfolio delivery view.

Governance, Cadence & Stakeholder Coordination

• Design and lead portfolio level governance structures, including operating cadence, executive reviews, and decision checkpoints.
• Coordinate cross functional stakeholders across Global Operations, AI/ML/Automation TPMs, Operations TPMs, Enterprise AI, IT, and Finance.
• Own meeting planning, agendas, materials, action tracking, and follow up to ensure decisions are documented and executed.
• Serve as a central point of coordination to resolve cross initiative dependencies, conflicts, and prioritization tradeoffs.

Financial Management & Value Realization

• Partner closely with the Financial Analyst to define, track, and report value realization (ROI) for all GOPs AI initiatives.
• Support portfolio level budget planning, allocation, and tracking, ensuring alignment between investment, delivery progress, and realized value.
• Establish consistent frameworks for benefit definition, KPI tracking, and post deployment value measurement.
• Provide transparent reporting on portfolio performance, investment efficiency, and outcome realization to executive stakeholders.

Execution Enablement & Continuous Improvement

• Enable consistent execution standards, templates, and best practices across AI programs and TPMs.
• Identify gaps, bottlenecks, or systemic risks across the portfolio and drive corrective actions.
• Capture lessons learned and evolve portfolio management, governance, and delivery processes as the AI program scales.
• Support leadership with clear, concise executive communications and data driven insights.

Who we’re looking for

• Bachelor’s degree in Supply Chain, Operations Management, Business, Engineering, or related field with 15+ years of experience; or Master’s degree with 12+ years’ experience; or equivalent experience.
• 12+ years of related experience in project management or program management.
• 12+ years of experience in program, portfolio, or operations management within complex, cross functional environments.
• Proven experience leading enterprise scale portfolios involving technology, data, and business transformation initiatives.
• Strong program and portfolio management capabilities, including intake governance, prioritization, dependency management, and executive reporting.
• Experience partnering with Finance on ROI modeling, budget management, and value realization tracking.
• Excellent stakeholder management and communication skills, with the ability to influence at senior and executive levels.
• Ability to bring structure, clarity, and execution discipline to ambiguous, fast moving environments.
• Experience in semiconductor, advanced manufacturing, supply chain, or complex global operations environments preferred.

Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

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