Senior Program Manager (Data Analytics & AI)

Lam ResearchFremont, CA
Hybrid

About The Position

The 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. 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.

Requirements

  • 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
  • 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.

Nice To Haves

  • 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

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
  • 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.

Benefits

  • Comprehensive set of outstanding benefits
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