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:
$168,000.00 - $231,000.00
Location:
Santa Clara,CA
You'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 benefits (https://hrportal.ehr.com/applied/) .
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 learned).
5) Value Realization, Metrics, and Executive Cadence
Define success metrics and a value tracking system (business impact, cycle time reduction, forecast accuracy, risk prevention, automation rate, adoption).
Provide executive-ready updates: roadmap progress, dependency management, investment tradeoffs, and decision points.
Required Qualifications
10+ years experience in one or more of: supply chain/procurement , digital transformation, analytics/AI product delivery, or strategy/consulting roles with operational ownership.
Demonstrated success building and executing multi-year roadmaps and scaling initiatives across multiple functions (process + technology).
Strong understanding of supply chain/procurement workflows (purchasing, sourcing, supplier performance management, risk).
Experience translating business problems into AI/analytics solutions (use case definition, requirements, data readiness, deployment/adoption).
Exceptional stakeholder management: ability to influence and drive alignment across senior leaders and technical teams.
Preferred Qualifications
Experience with AI-enabled supply chain capabilities
Familiarity with enterprise platforms and integrations (ERP/procurement ecosystems) and data governance practices.
MBA, MS (Operations/Analytics), or equivalent advanced degree; or equivalent experience leading complex transformations.
Core Competencies
Strategic thinking with strong execution orientation ("strategy to shipped capability")
Systems thinking across people/process/data/technology
Structured problem solving and business case/value sizing
Program leadership and dependency management
Clear, executive-level communication and storytelling
Additional Information
Time Type:
Full time
Employee Type:
Assignee / Regular
Travel:
Yes, 25% of the Time
Relocation Eligible:
No
The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.
For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
In addition, Applied endeavors to make our careers site (https://www.appliedmaterials.com/us/en/careers.html) accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
