Support creating and evolving a live multi-year GOPs AI Roadmap covering capabilities and value capture.
Maintain visibility to GOPs AI portfolio, program health, technical risks, dependencies, system readiness, and resource needs.
Technical Execution & Solution Translation
Drive end-to-end execution of AI/ML/Automation initiatives from discovery through value realization post deployment.
Translate business challenges into clear technical problem statements & requirements. Identify gaps between requirements and feasibility early, and drive resolution at speed through tradeoff discussions, escalation, and alignment.
Partner with data engineers, data scientists, information security engineers, and platform teams to ensure required data pipelines, integrations, feature inputs, and production-readiness criteria are defined and executed.
Support the transition from build to run by ensuring ownership, support model, documentation, monitoring requirements including eval metrics, training, and continuous improvement mechanisms are established.
Cross-functional Collaboration & Value Realization
Build strong partnerships with GOPs, Enterprise AI, IT, Information Security teams and external partner ecosystem.
Act as a trusted advisor to GOPs stakeholders on how AI/ML/Automation capabilities can be applied to transform operational processes, enable intelligent decision-making, and drive productivity gains.
Partner with GOPs functional teams to ensure deployed solutions are embedded into business processes and adopted by end users.
Who we’re looking for
Bachelor’s degree with 15+ years of experience; or Master’s degree with 12+ years’ experience; or a PhD with 8+ years’ experience; or equivalent experience.
Strong exposure to Operations domains - Supply Chain, Manufacturing, Logistics, Planning, Order Management, Spares Operations and adjacent business functions.
Demonstrated experience leading complex, cross-functional AI/ML/Automation programs from concept through deployment and operational handoff.
Technical fluency in AI/ML/Automation concepts, including predictive modeling, optimization, workflow orchestration, LLM/RAG workflows, intelligent agents, analytics, data pipelines, and Ontology or Knowledge Graph based enterprise platforms.
Strong communication skills with the ability to present complex technical and operational topics clearly to both technical and non-technical stakeholders.
Ability to operate in ambiguous and fast-moving environments.
Experience in semiconductor equipment or similar advanced manufacturing 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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Salary
CA San Francisco Bay Area Salary Range for this position: Min $146,000 - Max $311,000.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
Our Perks and Benefits
At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
