Mgr, Supply Chain Data Products and Analytics

Xcel Energy•Maple Grove, MN

1d•$112,200 - $159,400•Hybrid

About The Position

Leads the Supply Chain Data Products & Analytics team serving the Supply Chain organization. Owns the supply chain data product portfolio: governed, reusable analytical assets—including inventory productivity and Economic Return on Inventory models, workforce capacity models, distribution network demand signals, and operational scorecards—that convert enterprise data into supply chain decisions with measurable financial outcomes. Builds domain analytics on the enterprise data platform under enterprise standards, serves as the named owner of the supply chain analytical data layer, and leads the team's adoption of AI-enabled analytical capability, including its existing automation portfolio and natural-language analytics, under applicable governance and control standards.

Requirements

Bachelor's degree in a quantitative, engineering, information systems, or business discipline, or equivalent experience.
Seven or more years of progressive experience in analytics, data engineering, business intelligence, or supply chain decision support.
Two or more years leading people or cross-functional delivery.
Demonstrated delivery of analytical products on a modern cloud data platform such as Databricks, Snowflake, or equivalent.
SQL fluency and working knowledge of data modeling.
Experience supporting enterprise resource planning data environments.

Nice To Haves

SAP (ECC or S/4HANA) data structures.
Experience in utility, energy, or asset-intensive supply chain operations.
Experience with data product management practices, semantic layer design, or federated operating models.
Experience deploying RPA, LLM-based tooling, or AI-assisted workflow automation under enterprise governance, including human-in-the-loop control design.
Advanced Power BI experience, including workspace administration and deployment pipelines.

Responsibilities

Own the supply chain data product catalog, including definition, prioritization, development, versioning, and retirement of governed analytical assets for Supply Chain functions and leadership and enterprise finance stakeholders.
Direct closure of documented domain data engineering gaps in the enterprise lakehouse in partnership with the enterprise data platform organization.
Establish data contracts, refresh standards, and quality thresholds for all production data products.
Serve as accountable owner for the supply chain analytical data layer and map every production report and data product to its post-conversion data source before cutover.
Partner with the Business Integration function on system-of-record design decisions affecting downstream analytics; Business Integration owns system configuration and process design, while this role owns the analytical consumption layer.
Own and evolve the team's automation and AI-assisted analytics portfolio, progressing from robotic process automation toward governed AI workflows within human-approved control boundaries and applicable enterprise standards.
Maintain a value ledger attributing realized savings and productivity hours to each deployed capability; ensure no autonomous AI action on financial controls.
Deliver executive decision support, including the MSS Leadership Scorecard, Monthly Operating Review analytics, blocked invoice control monitoring against the SOX threshold, and CFO-level financial models.
Lead, develop, and performance-manage a team of 4–5 professionals.
Execute the team's skills progression toward analytics engineering, AI engineering, and data product management.