Mgr, Supply Chain Data Products and Analytics
Core
Leads the Supply Chain Data Products & Analytics team to convert enterprise data into supply chain decisions with measurable financial outcomes, owning the portfolio of governed analytical assets including inventory productivity models, workforce capacity models, and distribution network demand signals.
Role type
Manager, Supply Chain Data Products and Analytics
Builds
Governed analytical assets (inventory productivity models, economic return models, demand signals, operational scorecards) and AI-enabled workflows on an enterprise data platform.
Domain
Energy utility supply chain / Data Engineering & Analytics
Required skills
Data product ownership, data engineering, SQL fluency, data modeling, SAP (ECC/S/4HANA) data structures, team leadership, cloud data platforms (Databricks/Snowflake), executive decision support, RPA/AI workflow automation
Preferred skills
Utility/energy supply chain operations, data product management practices, semantic layer design, LLM-based tooling, Power BI advanced administration
Technologies
Databricks, Snowflake, SAP ECC, SAP S/4HANA, Power BI, RPA, LLMs
Responsibilities
Own the supply chain data product catalog (definition, prioritization, versioning); Direct closure of data engineering gaps in the enterprise lakehouse; Establish data contracts and quality thresholds; Map production reports to post-conversion data sources; Evolve automation and AI-assisted analytics portfolio; Deliver executive decision support (scorecards, financial models); Lead and develop a team of 4–5 professionals
Seniority
Manager, hands-on IC with team leadership
