Senior Project Manager (AI Initiatives)

Lam Research•Fremont, CA

2d•$114,000 - $253,000•Hybrid

About The Position

The Senior Project Manager will support AI programs for Lam Research’s Global Operations organization within the Global Information Systems PMO. The role has significant engagement across Global Operations, enterprise AI, Information Security, IT data lake, and IT enterprise applications teams. It drives planning, execution, program and project governance, and benefits realization for AI, machine learning, and agentic automation capability deployments. The successful candidate partners across groups, functions, and geographies to turn AI opportunities into well-structured programs and projects with clear scope, measurable outcomes, practical delivery plans, risk controls, and leadership visibility. The role requires disciplined program management, strong communication and executive presence, perseverance, and the ability to work effectively in a fast-evolving AI environment. The position leads AI initiatives across enterprise applications, data analytics, infrastructure, and information security; coordinates solution delivery with internal stakeholders and external partners; and establishes delivery governance appropriate to each initiative. It tracks adoption and realized value, supports operational readiness, and helps develop repeatable delivery practices for AI initiatives. Lam describes work location models as either On-site Flex (at least three days per week on-site) or Virtual Flex (one to two days per week on-site), depending on role needs. The listed salary range for applicants residing or working on-site in the California San Francisco Bay Area is $114,000–$253,000; actual offers depend on factors including location, level, education, training, skills, and experience.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline with 12+ years of experience; or a master’s degree with 8+ years of experience; or equivalent experience.
10+ years of IT experience, including at least 3+ years successfully leading complex AI deployment projects or programs across diverse business and technology teams.
Strong program or project management experience with enterprise applications, infrastructure, information security, data analytics, automation, or AI-enabled initiatives.
Demonstrated ability to manage multiple workstreams, stakeholders, vendors, budgets, schedules, resources, risks, and executive communications concurrently.
Experience with SDLC, Agile, Scrum, waterfall, and hybrid delivery methodologies, and ability to tailor governance to initiative size and risk.
Strong cross-functional collaboration, executive communication, stakeholder management, facilitation, negotiation, and conflict-resolution skills.
Hands-on proficiency with Microsoft Project, Microsoft 365, Teams, Visio, Excel, PowerPoint, Smartsheet, Jira, Azure DevOps, or similar planning and reporting tools.

Nice To Haves

Working knowledge of AI and generative AI concepts, data readiness, model or solution lifecycle considerations, adoption planning, and responsible AI governance.
Project Management certification such as PMP, PgMP, PMI-ACP, CSM, or equivalent experience.
Experience supporting programs involving AI Foundries (e.g., MS Foundry), M365 Copilot, Copilot Studio, AI agents, knowledge search, workflow automation, data analytics, or enterprise AI platforms.
Ability to create AI use case intake criteria, prioritization models, delivery playbooks, adoption plans, and value measurement dashboards.
Experience coordinating architecture, security, privacy, legal, data governance, and operations reviews for emerging technology initiatives.
Familiarity with organizational change management for new digital capabilities, including training, communications, stakeholder readiness, and support transition.

Responsibilities

Lead AI programs and related projects across enterprise applications, data analytics, infrastructure, and information security.
Partner with the BRM and business unit stakeholders to clarify business outcomes and manage project cadence through the program and project lifecycle.
Develop program charters, project definitions, scope, success metrics, cost estimates, schedules, resource plans, and delivery roadmaps.
Drive project enablement activities across internal functions, including IT infrastructure, data and applications, Information Security, Ethics & Compliance, and Indirect Procurement.
Coordinate AI solution delivery with product owners, architects, data teams, application teams, InfoSec, infrastructure, vendors, and business units.
Drive execution using rapid build and deployment cycles; define and execute sprint planning, milestone reviews, steering updates, and decision forums as needed.
Manage dependencies, risks, issues, assumptions, decisions, change requests, and escalation paths across concurrent AI initiatives.
Ensure data readiness and address data access, security, privacy, compliance, model or solution validation, operational support, and release readiness.
Establish lightweight governance for delivery health, risk review, value realization, and post-implementation support on prioritized initiatives.
Track adoption and value realization, including usage, productivity impact, stakeholder feedback, process improvement, and benefits against approved success measures.
Prepare executive communications such as status dashboards, roadmap updates, risk summaries, decision requests, and portfolio progress reports.
Facilitate partner delivery execution and third-party coordination for AI tools, platforms, and implementation partners.
Identify project management improvements and help develop repeatable delivery patterns, templates, playbooks, and operating models for AI initiatives.
Resolve most conflicts between timeline, budget, and scope independently and escalate complex issues to IT PMO and business unit stakeholders as needed.
Demonstrate flexibility, resilience, and structured problem solving in ambiguous and fast-changing environments.