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 supply chain / Global Service Operations
Deliverable
production ML models | product features
Required skills
SQL, Python, Databricks/lakehouse, enterprise BI, LLMs/generative AI (RAG, agentic workflows), MLflow, MLOps (Azure Red Hat OpenShift/Kubernetes/Azure ML), people leadership, supply chain economics
Preferred skills
Semiconductor/high-tech supply chain experience, reverse value chain/repair/inventory optimization analytics, AI/analytics center of excellence experience
Technologies
Databricks, BI hosting, Azure Red Hat OpenShift, Kubernetes, Azure ML, MLflow, Python, SQL
Responsibilities
Embed AI/LLMs into supply chain analytics to automate manual workflows; lead delivery of analytics roadmap and SLAs; build repeatable AI-assisted tools; take prototypes to governed production with monitoring and lineage; manage and mentor a team of analysts; design data acquisition systems and analytical models; communicate insights to business management to drive process improvements.
Seniority
Senior Manager, hands-on delivery leadership
