Senior Data Product Manager - Supply Chain (REMOTE)

DICK'S Sporting Goods

1d • Remote

About The Position

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.

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, reporting, and decision making
• Strong technical fluency: ability to discuss APIs, data architecture, ETL/ELT processes, and system integration with engineering teams
• SQL proficiency and experience with BI tools (Cognos, Looker, Power BI, or similar)
• Familiarity with Agile/Scrum methodologies and product management tools (Jira, Confluence, Aha!, Product Board, Miro)
• Expertise defining and tracking product KPIs/OKRs that tie to business outcomes
• Strong ability to translate complex technical concepts into executive-ready narratives and business value propositions
• Experience writing user stories, managing backlogs, and leading sprint planning

Nice To Haves

• Experience with supply chain technology products, with Manhattan strongly preferred
• Deep understanding of retail distribution and DC operations
• Strong ability to lead, facilitate, and align technology, business, and operations partners
• Strong data acumen, with the ability to interpret and apply insights to operational decisions
• Proven problem solving skills, demonstrating creative and pragmatic approaches to complex challenges

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 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 platform optimization opportunities, and lead build vs buy decisions to support scalable, modern fulfillment and supply chain technology

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed