DICK'S Sporting Goods, Inc. is hiring a Senior Data Product Manager - Supply Chain to own the vision and roadmap for data products that power our distribution center operations. In this remote role, you will lead the strategy to build a unified enterprise source of truth from systems like WMS, LMS, and TMS, enabling the continued modernization of our supply chain network.

What You'll Do

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 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 We're Looking For

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 Have

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.

Technical Stack

Cloud Data Warehouses: Snowflake, BigQuery, Databricks
Languages & Tools: SQL, Cognos, Looker, Power BI
Product Management: Jira, Confluence, Aha!, Product Board, Miro

Team & Environment

You will partner with Data Science, Engineering, Supply Chain, Store Operations, and business leaders to define requirements, prioritize initiatives, and scale strategies.

Benefits & Compensation

Salary Range: $95,200.00 - $158,800.00
Competitive total rewards package that could include incentive, equity and benefits.
Compliance with all state paid leave requirements.
Generous suite of benefits.