Senior Program Manager (Data Analytics & AI)

The group you’ll be a part of

Lam Research is looking for a Senior Program Manager (Data Analytics & AI) is responsible for leading complex, cross‑functional programs that deliver enterprise‑scale data, analytics, and AI capabilities. This role ensures alignment between business strategy, technology execution, governance, and value realization across multiple interdependent initiatives.

The role sits at the intersection of data platforms, analytics engineering, AI/ML solutions, business stakeholders, and IT delivery teams, with accountability for outcomes, risk, governance, and executive communication.

Senior Program Manager – Data Analytics & AI Technology
Location: Bay Area (CA)

Role Overview
The Senior Program Manager – Data Analytics & AI Technology leads large, cross‑functional programs delivering enterprise data, analytics, and AI solutions. This role is accountable for end‑to‑end program delivery, governance, risk management, and business value realization across multiple interdependent initiatives.
The role partners closely with business leaders, data engineering, analytics, AI/ML teams, architecture, security, and vendors to ensure solutions are delivered at scale and aligned to enterprise strategy.

Key Responsibilities

Own program vision, objectives, scope, roadmap, and success metrics for data and AI initiatives
Lead execution of complex, multi‑workstream programs spanning data platforms, analytics, BI, and AI/ML solutions
Manage dependencies, risks, budgets, vendors, and resources across multiple projects
Establish and enforce program governance, reporting, and decision‑making frameworks
Ensure alignment with enterprise architecture, data governance, security, privacy, and responsible AI standards
Partner with business stakeholders to drive adoption and measurable value realization
Provide clear, executive‑level communication on program health, risks, tradeoffs, and outcomes
Drive continuous improvement in delivery practices, tooling, and operating models

Required Qualifications

15+ years of experience in program or portfolio management within IT, data, analytics, or AI environments
Proven track record leading large‑scale, cross‑functional technology programs
Strong understanding of data platforms, analytics, and AI/ML solution delivery
Experience with Agile, waterfall, and hybrid delivery methodologies
Strong executive communication, stakeholder management, and leadership skills

Preferred Qualifications

Experience delivering AI‑driven automation, predictive analytics, or generative AI solutions
Familiarity with data governance, privacy, security, and regulatory requirements
PMP, PgMP, SAFe, or equivalent certification
Experience working in global, matrixed organizations

The impact you’ll make

Plans and coordinates all aspects of internal information system-specific projects from initiation to delivery. Projects often involve network, server, or software implementation and upgrades, PC deployment and the like. Coordinates work performed by IT staff and internal customers/partners by defining project requirements, performing feasibility and needs/impact assessments. Develops detailed project plans and manages all implementation processes including resource allocation, progress tracking, monitoring change control process, testing, documentation, training and on-time delivery within budget constraints. Projects may vary in number, size and complexity.

What you’ll do

Who we’re looking for

• Minimum of 15 years of related experience with a Bachelor’s degree; or 12 years and a Master’s degree; or a PhD with 8 years experience; or equivalent experience.

Preferred qualifications

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