Senior Data Product Manager - Supply Chain (Remote)

10h10 hours ago

DICK'S Sporting Goods

US · Full-time · $95,200 – $158,800

About this role

At DICK’S Sporting Goods, Product Management delivers retail excellence along every aspect of the athlete journey. The Data and AI organization builds the data foundation that powers how the company plans, operates, and optimizes its distribution and fulfillment network. This role defines how an iconic retailer leverages data across a modern, technology-enabled supply chain.

The Senior Data Product Manager owns the product vision for supply chain data products sourced from WMS, LMS, TMS, and adjacent technologies. You will translate complex operational challenges into scalable, data-driven products that improve efficiency, visibility, and execution across warehousing and fulfillment. The position leads strategy, roadmap, and delivery of capabilities that power distribution center operations.

You will partner daily with Data Science, Engineering, Supply Chain, Store Operations, and business leaders to define requirements and prioritize initiatives. The work establishes data quality standards, governance frameworks, and activation-ready data models that create enterprise-wide trust in supply chain data. Executive-ready narratives communicate technical concepts and drive adoption of new capabilities.

This is an opportunity to build a unified enterprise source of truth that integrates logistics, DC fulfillment, and inventory movement data. You will establish KPIs that measure adoption and impact while continuously improving data quality across platforms. The role supports the continued modernization of an iconic retailer’s fulfillment network.

Requirements

7+ years in product management with 4+ years focused on supply chain or data products
Proven track record building data solutions at enterprise scale
Experience partnering with and presenting to SVP/Director-level stakeholders across technology and business teams
Experience with supply chain data platforms or operational data ecosystems supporting warehousing, labor, inventory, and transportation
Deep understanding of supply chain data modeling and data governance
Knowledge of cloud data architectures and warehouses (Snowflake, BigQuery, Databricks) used to enable scalable analytics and reporting

Responsibilities

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
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
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 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
Manage vendor relationships, assess platform optimization opportunities, and lead build vs buy decisions to support scalable fulfillment technology