Senior Data Product Manager - Supply Chain

At DICK’S Sporting Goods , we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.

If you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today!

OVERVIEW:

Welcome to Product Management at DICK’S Sporting Goods, where we specialize in delivering retail excellence along every aspect of the athlete journey.

Our mission is to craft intuitive, easy to use products that drive impact across our business. Our Data and AI organization is building the data foundation that powers how DICK’S plans, operates, and optimizes its distribution and fulfillment network. This isn’t just a product role - it’s an opportunity to define how an iconic retailer leverages data across a modern, technology-enabled supply chain.

The Senior Data Product Manager of Supply Chain at DICK’S Sporting Goods leads the strategy, roadmap, and delivery of data products that power distribution center operations. This role owns the product vision for building supply chain data products sourced from WMS (Warehouse Management System), LMS (Labor Management System), TMS (Transportation Management System), and adjacent supply chain technologies, enabling the continued modernization of our network. The ideal candidate translates complex operational challenges into scalable, data driven products that improve efficiency, visibility, and execution across warehousing and fulfillment.

KEY RESPONSIBILITIES INCLUDE

Define the multi-year product strategy and vision for supply chain capabilities, building a unified enterprise source of truth that integrates data across logistics, DC fulfillment, and inventory movement to drive billions in revenue

Establish and maintain data quality standards, governance frameworks, and activation-ready data models ensuring enterprise-wide trust in supply chain data

Partner with Data Science, Engineering, Supply Chain, Store Operations, and business leaders to define requirements, prioritize initiatives, and scale strategies to drive measurable business impact

Establish KPIs to measure adoption and impact of supply chain data products, driving improvements in DC throughput, labor productivity, inventory accuracy, and fulfillment performance

Define and track metrics to continuously monitor and improve supply chain data quality, leveraging data completeness, accuracy, timeliness, and system reconciliation across WMS, LMS, TMS, and related platforms

Translate complex technical and data concepts into clear operational and business value, delivering executive ready narratives that drive adoption of supply chain and DC data capabilities

Manage vendor relationships, assess