Group Product Manager - BI and Data Science - Merchandising & Store Operations

DICK’S Sporting Goods is a sports retail company seeking a Group Product Manager to lead BI and data science product management for merchandising, planning, inventory, and store operations. The role owns the intelligence portfolio strategy and roadmap, leads product talent, modernizes reporting and analytics, and develops data science-enabled products that improve business decision-making.

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-launch value tracking
• Lead and develop product talent including in-house BI PMs and third-party PM resources, with consistent standards for product thinking, documentation, stakeholder alignment, and delivery accountability
• Measure business impact through outcomes such as decision quality, planning cycle time, forecast accuracy, inventory productivity, store execution, adoption, reduced manual effort, and operational ROI

Requirements:

• 10+ years of experience in product management, data product management, analytics product management, BI product leadership, data science product management, or related technical product roles
• Experience leading product portfolios in merchandising, retail, stores, supply chain, inventory, planning, marketplace, finance, or operations-heavy environments
• Strong product leadership across BI, analytics, metrics, reporting modernization, semantic layers, data products, and/or applied ML
• Demonstrated ability to lead through ambiguity in highly matrixed organizations with senior business and technology stakeholders
• Experience managing product managers, contractors, consultants, third-party PMs, or cross-functional delivery partners
• Technical fluency in data platforms, BI tools, analytics engineering, data governance, experimentation, forecasting, optimization, and ML-enabled decision systems
• Strong communication skills with the ability to translate between executive business needs, user workflows, data constraints, technical tradeoffs, and delivery roadmaps
• Bachelor's degree in a relevant field required
• Advanced degree in business, computer science, engineering, analytics, data science, or a related discipline preferred