Senior Manager, Supply Chain Data Science & AI Operationalization
Core
Lead the operationalization of AI and generative AI (LLMs, RAG, agentic workflows) to transform manual supply chain analytics into governed, automated, scalable workflows for Global Service Operations.
Role type
Senior Manager, Supply Chain Data Science & AI Operationalization
Builds
Repeatable, AI-assisted workflows and agents for procurement, order fulfillment, reverse value chain, and supplier operations.
Domain
Semiconductor manufacturing supply chain / Materials science
Deliverable
production ML models | product features
Required skills
SQL, Python, Databricks/lakehouse, LLMs and generative AI (RAG, agentic workflows), MLOps (Azure Red Hat OpenShift/Kubernetes), team leadership, supply chain economics
Preferred skills
Semiconductor/high-tech supply chain experience, reverse value chain/repair analytics, AI center of excellence setup
Technologies
Databricks, BI, Azure Red Hat OpenShift, Kubernetes, OpenShift, Azure ML, MLflow
Responsibilities
Embed AI into supply chain analytics workflows; lead delivery of analytics roadmap; build repeatable AI-assisted tools; take prototypes to governed production; establish AI operationalization practices; manage analyst team; lead complex data analysis projects; communicate insights to business management.
Seniority
Senior, hands-on IC with team leadership
