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Senior Data Product Manager - Supply Chain
Location
United States
Posted
17 days ago
Salary
$95.2K - $158.8K / year
Seniority
Lead
No structured requirement data.
Job Description
Senior Data Product Manager - Supply Chain
DICK'S Sporting Goods
Role Description 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 platform optimization opportunities, and lead build vs buy decisions to support scalable, modern fulfillment and supply chain technology. Qualifications - 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. Requirements - 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. What You'll Deliver in Your First Year - Comprehensive product strategy and 18-month roadmap for supply chain data products. - Key platform improvements that measurably increase data quality and match rates. - Stronger cross-functional alignment and adoption of supply chain data across the organization. - Business cases and ROI models demonstrating platform value to executive leadership. Virtual Requirements - Cameras must be on during all virtual interviews. - AI tools are not permitted to be used by the candidate during any part of the interview process. - Offers are contingent upon a satisfactory background check which may include ID verification. Targeted Pay Range $95,200.00 - $158,800.00. This is part of a competitive total rewards package that could include other components such as: incentive, equity, and benefits. Individual pay is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations.
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