Supply Chain AI Strategy & Transformation Lead

Supply Chain AI Strategy & Transformation Lead page is loaded## Supply Chain AI Strategy & Transformation Lead locations:
Santa Clara,CAtime type:
Full time posted on:
Posted Todayjob requisition :
R2614319
** Who We Are
** Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT.

If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
** What We Offer
** Salary:$ - $

Location:

Santa Clara,CAYou’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our .
** Position Summary
** We are seeking a senior leader to
** define, operationalize, and accelerate adoption of AI across Global Supply Chain**, spanning
** purchasing, sourcing, supplier management, risk intelligence, and decision augmentation**. This role will own the
** multi-year AI capability roadmap**, develop & prioritize the
** highest-value use cases**, and partner across
** Supply Chain, Operations, and IT
** to deliver AI-enabled workflows that improve speed, resilience, and decision quality. The role will also contribute materially to
** long-term supply chain strategy
** by bringing cross-industry best practices in digitization, predictive capabilities, and global operating models.

This position is central to building an AI-enabled supply chain that can scale with complexity (e.g., large supplier ecosystem) to predictive and resilient supply chain.
** Key Responsibilities
***
* 1) Own the Supply Chain AI Roadmap & Portfolio
*** Lead development and ongoing evolution of a
** multi-year AI roadmap
** for supply chain processes (purchasing, sourcing, supplier management, risk intelligence, decision support), balancing near-term wins with longer-term transformation.
* Establish an objective
** use case intake, sizing, and prioritization
** mechanism (value, feasibility, data readiness, adoption risk, time-to-impact).
* Define “North Star” process maturity targets and the progression from foundational capabilities to advanced/agentic workflows (e.g., predictive risk monitoring, automated scorecards, workflow automation).
*
* 2) Operationalize AI in Core Workflows (from concept to deployed capability)
*** Translate prioritized use cases into
** product-ready requirements**, target operating model changes, and measurable outcomes
* Partner with teams to build enabling foundations:
** data governance, data quality, integration readiness, and model monitoring**.
*
* 3) AI Governance, Change Management, and Adoption
*** Build and execute a pragmatic
** AI governance and change management
** approach—stakeholder alignment, capability development, adoption playbooks, and communication.
* Address common adoption barriers (trust, job impact concerns, skills evolution) through training and structured rollout plans.
*
* 4) Long-Term Supply Chain Strategy & Cross-Industry Benchmarking
*** Bring cross-industry perspective to challenge assumptions, identify blind spots, and strengthen long-term strategy around
** digitization, predictive supply chain, resilience, and scalable global operating models**.
* Benchmark external practices and incorporate relevant insights into roadmap and operating model (best practices, maturity models, lessons…