Program Manager, Enterprise AI Literacy & Enablement

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.

Salary: $96,000.00 - $132,000.00 Location: Austin,TX 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 .

Applied Materials is the world's largest supplier of semiconductor manufacturing equipment — and how quickly our workforce harnesses AI directly shapes our ability to innovate, execute, and compete. This role sits on the team responsible for driving enterprise-wide AI adoption and culture-building: turning strategic intent into measurable workforce capability. You will design and run the programs that move Applied Materials employees from AI-curious to AI-proficient, and you will do so at the pace and scale a global technology manufacturer demands. This is not a training-catalog role. It is an enterprise change initiative, and you will own it.

Own the enterprise AI literacy roadmap. Define the multi-year curriculum strategy — segmented by role, function, and proficiency tier — and translate it into a concrete quarterly execution plan with named milestones and owners. Drive measurable capability gains. Instrument every program initiative against a KPI framework that tracks usage and adoption rate, proficiency level by employee tier, time-saved and productivity impact, and confidence/sentiment scores — then report findings to senior leadership on a regular cadence. Design and deliver leader-facing workshops. Build and facilitate hands-on sessions for people managers and executives on [Applied's AI tool stack, including Microsoft Copilot] — equipping leaders to model new working behaviors and set expectations for their teams. Build and activate an AI Champion Network. Recruit, onboard, and hold accountable a distributed community of AI ambassadors across business units; provide them with enablement resources, feedback loops, and executive air cover so they can accelerate adoption where you cannot be present. Lead change management, not just communications. Proactively map adoption barriers — cultural, technical, and structural — develop mitigation strategies, and work with managers to shift behaviors before resistance becomes inertia. Partner on responsible-AI governance. Collaborate with Legal, Security, Compliance, and Data Governance stakeholders to ensure every program initiative remains aligned with Applied's responsible-AI principles and regulatory requirements. Align and influence cross-functional stakeholders. Navigate a matrixed organization to secure buy-in, resources, and sponsorship from business unit leaders and senior executives — without direct authority over any of them. Tie learning outcomes to business performance. Frame every program deliverable in terms of productivity improvement, operational efficiency, or competitive advantage — not only employee satisfaction or participation counts. Iterate rapidly. Collect participant feedback, benchmark against