Senior Manager, Supply Chain Data Science & AI Operationalization

About the role

Applied Materials is hiring a Senior Manager for its Global Service Operations in Santa Clara, California. The role drives AI operationalization in supply chain analytics, embedding AI, generative AI and LLM-based methods into analytics so that manual, one-off analyses become governed, automated, always-on workflows. It leads a small team of analysts and holds delivery to clear cycle-time and quality standards.

Key responsibilities

• Lead delivery of supply chain analytics in Global Service Operations (procurement, order fulfillment, reverse value chain and supplier operations), owning execution against the roadmap and SLAs.
• Build and ship repeatable, AI-assisted workflows and agents, moving high-value tools from prototype to governed production with data lineage, monitoring and model lifecycle management.
• Establish AI operationalization practices: prompt and model evaluation, human-in-the-loop controls, versioning, monitoring and governance.
• Plan, manage and control a team of analysts, and lead project teams that design methods, processes and systems for big data, communicating insights to business management.
• Perform and direct complex statistical and data-mining analysis, advise on data acquisition and database design, and help business groups define actions and KPIs.
• Select, develop and evaluate personnel, and track delivery cycle time, quality and business impact.

Required profile

• Bachelor's degree required; advanced quantitative degree preferred.
• 8 to 12 years in data science / advanced analytics, including hands-on supply chain analytics and AI delivery and some team leadership.
• Hands-on experience delivering AI and analytics in a supply chain context with measurable business results.
• Experience taking analytics from notebooks to governed production, and deploying governed services on an enterprise application or MLOps platform (e.g. ARO, Kubernetes / OpenShift, Azure ML).
• Preferred: semiconductor, high-tech or complex global supply chain experience, and domain depth in reverse value chain, repair, inventory optimization, supplier performance or on-time-delivery analytics.

Required skills

• SQL, Python, Databricks / lakehouse and enterprise BI.
• Applied AI tooling: LLMs and generative AI (RAG, agentic workflows), MLflow or equivalent.
• Supply chain economics (procurement, inventory, repair, reverse value chain, order fulfillment, supplier performance).

What we offer

• Salary of $193,500 to $266,000.
• Comprehensive benefits package, with possible eligibility for a bonus and stock award program.
• 10% travel time; relocation is not available.