AI Change Lead — Global Operations

LAM RESEARCH Corporation; Livermore (CA); On-site; USD 137,000 - 287,000; Full time

Job summary

Lam Research in the California Bay Area seeks a Principal Change Management Lead for Global Operations AI. You’ll own process re‑engineering, training, adoption, organizational readiness, and AI fluency across the GOP AI portfolio, partnering with internal owners, TPMs, and Enterprise AI to embed AI capabilities into workflows.

The role emphasizes operational embedding, AI fluency, and value realization, plus shaping change communications and scalable frameworks across Global Operations.

Qualifications

• 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.

Responsibilities

• 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.
• 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
• 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.
• 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.

Skills

Facilitation

Communication

Influencing

Ambiguity tolerance

Leadership in transformation

Education

Bachelor’s degree + 15+ years; Master’s +12 years; Ph.D +5 years

Job description

Lam Research in the California Bay Area seeks a Principal Change Management Lead for Global Operations AI. You’ll own process re‑engineering, training, adoption, organizational readiness, and AI fluency across the GOP AI portfolio, partnering with internal owners, TPMs, and Enterprise AI to embed AI capabilities into workflows.

The role emphasizes operational embedding, AI fluency, and value realization, plus shaping change communications and scalable frameworks across Global Operations.