Group Product Manager - BI and Data Science - Merchandising & Store Operations
DICK'S Sporting GoodsRole: Group Product Manager - BI and Data Science - Merchandising & Store Operations Location: United States City, State: Remote Job Area: Full time Job ID: 202632163 Job Category: Technology 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: Overview We are looking for a Group Product Manager to lead BI and Data Science product management for Merchandising, Planning, Inventory, and Store Operations. This leader will own the product strategy and roadmap for the intelligence products that help DSG teams plan assortments, manage inventory, optimize seasonal decisions, operate stores, and understand performance across the business. The portfolio includes certified reporting, operational dashboards, planning and merchandising data products consumed through insights experiences, self-service analytics, and applied data science capabilities such as forecasting, optimization, recommendations, and decision support. This leader will partner across Merchandising, Planning, Stores, Supply Chain, Data Science, Analytics, Engineering, Architecture, and business leadership to translate complex operational needs into scalable products that improve speed, quality, and consistency of decision-making. This is a hands-on product leadership role. The GPM will lead BI product managers, manage third-party PM capacity, establish portfolio discipline, and shape the future team structure as DSG expands its in-house product capability in this space. Why this role matters This role sits at the center of how DSG modernizes decision-making across merchandising and store operations. The leader will help move teams from fragmented reports, manual analysis, and reactive planning toward trusted reporting, governed metrics, self-service insights, and model-enabled recommendations that improve planning quality, inventory productivity, store execution, and athlete experience. This is a rare opportunity to lead a high-impact intelligence portfolio at the intersection of retail operations, merchandising, planning, inventory, and applied AI. The role has direct visibility into how DSG makes some of its most important business decisions and will shape the products, operating model, and team structure that modernize decision-making across stores and merchandising. Key Responsibilities Own the portfolio strategy and roadmap for BI, reporting, analytics, decision support, and applied data science across Merchandising, Planning, Inventory, and Store Operations. Lead store operations intelligence for senior store vice presidents, field leaders, store managers, store captains, and operational teams. Lead merchandising and planning intelligence for merchants, planners, buyers, inventory optimization teams, and seasonal or pre-season planning workflows. Partner with the Data Products GPM to connect trusted domain data foundations to BI, analytics, decision-support, and applied data science products. Define where data science should change decisions by identifying high-value opportunities for forecasting, optimization, recommendations, and model-enabled workflows. Translate ambiguous business asks into clear product problems, measurable outcomes, user workflows, prioritized roadmaps, and delivery plans. Modernize the reporting ecosystem by moving teams from fragmented dashboards, manual reconciliation, and one-off reporting toward certified metrics, semantic-layer alignment, self-service analytics, and scalable insights products. Establish clear portfolio governance including intake, prioritization, roadmap reviews, dependency management, release planning, adoption planning, and post…