The impact you'll makeThe Principal Change Management Lead owns process re-engineering, training, adoption, organizational readiness, and AI fluency across the Global Operations AI portfolio. This role serves as the primary change leader for GOPs AI initiatives, working closely with internal business owners, functional teams, Operations TPMs, AI/ML/Automation TPMs, the Principal Program Management Lead, and Enterprise AI.
The focus of this role is to ensure AI solutions are operationalized, understood, used, and value-generating by embedding them into Global Operations processes, decision-making, and day-to-day workflows.
What you'll doProcess Re engineering & Operational Embedding
- Lead process re engineering efforts to embed AI/ML/Automation use case capabilities into existing Global Operations business processes and operating rhythms.
- Partner closely with internal functional business owners to redesign workflows, roles, decision points, and controls impacted by AI deployments.
- Ensure AI solutions are integrated into standard work, governance mechanisms, and execution models rather than operating as standalone tools.
- Identify organizational, process, and behavioral barriers to adoption and drive mitigation plans early in the delivery lifecycle.
Training, Adoption & Organizational Readiness
- Define and execute end to end training and adoption strategies for Global Operations AI initiatives.
- Develop role based training content, enablement materials, and learning pathways tailored to Lam's Global Operations teams.
- Drive awareness, readiness, and engagement across stakeholder groups, from frontline users to leadership.
- Establish and monitor adoption, usage, and behavior change metrics post deployment; partner with TPMs to drive corrective actions where needed
AI Fluency, Communication & Change Leadership
- Build and scale organizational AI fluency across Global Operations, helping teams understand AI capabilities, limitations, and practical applications within Lam's context.
- Lead change communication strategies, including executive messaging, functional communications, and user facing materials.
- Serve as a trusted advisor to Global Operations leaders on change impacts, readiness, and adoption considerations tied to AI driven transformation.
- Establish repeatable change management frameworks and best practices for AI initiatives across Global Operations.
Enterprise AI Partnership & Value Realization
- Work closely with Enterprise AI to drive adoption and effective usage of Lam approved AI platforms, tools, and capabilities.
- Partner with Program, Operations, and Finance stakeholders to link adoption and usage metrics to value realization and ROI outcomes.
- Support continuous improvement by identifying opportunities to expand usage, deepen adoption, and maximize realized value from deployed solutions.
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 5 years of experience with a Ph.D, or equivalent experience.
- 6+ years of experience within Lam Research Global Operations, or closely related Lam operational organizations.
- Deep understanding of Global Operations business processes, systems, operating models, and organizational dynamics.
- Proven experience leading process re engineering, change management, training, or transformation initiatives in complex operational environments.
- Experience supporting digital, analytics, automation, or AI enabled initiatives strongly preferred.
- Strong facilitation, communication, and influencing skills across functional, operational, and leadership audiences.
- Ability to operate effectively in ambiguity and bring structure, clarity, and execution discipline to transformation efforts.
- Credibility and trust to partner closely with internal business owners and functional leaders.
SalaryCA San Francisco Bay Area Salary Range for this position: Min $137,000 - Max $287,000.
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 BenefitsAt 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.
