Manager, Data, Analytics & AI

Serve as an integrator across the Data & Analytics and Procurement AI Sub-Teams, continuously improving governed Procurement Data Products and contextualizing them for AI and machine learning utilization in support of the Procurement AI Roadmap.
Responsibilities:
Drive continuous improvement of Procurement Data Products, including quality checks, refresh cadences, and schema enhancements
Contextualize and enrich Data Products for AI/ML consumption — ensuring structured, documented, feature-ready data formats consumable by AI use cases across the roadmap
Bridge the Data & Analytics Sub-Team and the Procurement AI Sub-Team by translating data governance standards into ML-accessible structures and AI-compatible ontologies
Support the expansion of AI-enabled analytics capabilities by ensuring underlying data products are properly structured and integrated
Contribute to analytics delivery and BI reporting as needed
Bachelor's or Master's in Data Science, Analytics, Computer Science, or related field
4–6 years of experience in data engineering, analytics engineering, or data product development
Strong proficiency in data governance and advanced data modeling
Experience with AI/ML data preparation and feature engineering preferred
Proficiency in data and analytics tools & technology (AWS/Redshift, Snowflake, Azure, Fabric, SQL, Python, R, Dataiku, DataBricks, Informatica or equivalent)

Employment type
Full-time

Work arrangement
Hybrid