Change Management Lead, Global Operations AI

About the Group

The Global Operations Group integrates information systems, facilities, supply chain, logistics, and high-volume manufacturing to drive the engine of our global business operations. We enable Lam to deliver industry-leading solutions with speed and efficiency while supporting resilient and profitable growth. The Global Operations AI team is a newly formed, high-impact organization within Lam Research’s Global Operations business unit, responsible for defining, evolving, and deploying the AI/ML/Automation roadmap across Global Operations in partnership with Lam’s Enterprise AI office.

Impact

The Principal Change Management Lead ensures AI-enabled capabilities are embedded into workflows, adopted by teams, and translated into sustained business value. This role owns process re-engineering, training, adoption, organizational readiness, and AI fluency across the Global Operations AI portfolio, working closely with business owners, functional teams, TPMs, and Enterprise AI.

Responsibilities

• Process Re-engineering & Operational Embedding
  • Lead process re-engineering to embed AI/ML/Automation use cases into existing Global Operations business processes and operating rhythms.
  • Partner with functional business owners to redesign workflows, roles, decision points, and controls impacted by AI deployments.
  • Integrate AI solutions into standard work, governance mechanisms, and execution models rather than 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.
  • 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.

Requirements

• 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.

Schedule

This role follows a hybrid work model. For '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. For 'Virtual Flex,' you’ll work 1-2 days per week on-site and remotely the rest of the time.

Pay

Salary range for this position in the California, San Francisco Bay Area: $137,000 – $287,000. Salary offers depend on factors including location, level, education, training, specific skills, years of experience, and comparison to other employees in the role. Actual salary may vary due to factors such as unpaid time off, leave, or company-mandated shutdowns.

Benefits

Lam offers a comprehensive set of benefits designed to support employees throughout various life phases, including health, wellness, financial, and work-life balance programs.