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Owns the end‑to‑end lifecycle of AI use cases across Source‑to‑Pay and Supply Chain, including ideation, business case development, pilot execution, scaling, and sustained adoption.
Partners with Procurement, Supply Chain, IT, Digital, and Data teams to translate business problems into deployable AI solutions.
Measures and communicates realized value (cost savings, cycle‑time reduction, risk mitigation, productivity gains) from AI deployments.
Leads the design and deployment of agentic AI and intelligent automation solutions across Source‑to‑Pay and Supply Chain processes, including sourcing, contracting, buying, supplier management, and fulfillment.
Acts as a thought leader applying extensive data processing and data analysis expertise in the development of strategy or resolution to complex data issues. Creates very complex automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing.
Applies advanced analytics and data engineering techniques to support AI- driven decision making Presents/communicates clear, concise and actionable data analyses for clients.
Acts as team lead and provides direction to less experienced employees.
May work with Senior Management to develop business related strategy, leveraging data in decision making.
Ensures data quality, governance, and traceability across integrated tools and analytical models.
Principal Data Scientist
Oakland, CA$140K - $238K / yearPosted 1 weeks ago
Full-timehybridprincipal