Group Product Manager – BI and Data Science

🕒 October 1

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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DICK'S Sporting Goods

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1948

🛒 Retail

⚽ Sports

🛍️ eCommerce

Retail • Sports • eCommerce

DICK'S Sporting Goods is the largest sporting goods retailer in the United States, offering a wide range of sporting equipment, apparel, and footwear. Committed to enriching communities through sports, DICK'S Sporting Goods also partners with major sports brands like UnderArmour, Patagonia, and Nike to provide high-quality products. The company is dedicated to inclusivity and sustainability, providing resources and support to help athletes and children participate in sports. Headquartered in Pittsburgh, DICK'S is at the forefront of innovative retail and fosters a people-first culture. The company also runs the DICK'S Sporting Goods Foundation, emphasizing the transformative power of sports.

📋 Description

• 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 opportunities for forecasting, optimization, recommendations, and model-enabled workflows to improve decisions • Translate ambiguous business asks into product problems, measurable outcomes, user workflows, prioritized roadmaps, and delivery plans • Modernize reporting through certified metrics, semantic-layer alignment, self-service analytics, and scalable insights products • Establish portfolio governance covering intake, prioritization, roadmap reviews, dependency management, release planning, adoption planning, and post-launch value tracking • Lead and develop in-house BI product managers and third-party PM resources • Measure business impact through 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 • Cameras must be on during all virtual interviews • AI tools are not permitted during any part of the interview process • Offers are contingent upon a satisfactory background check, which may include ID verification

🏖️ Benefits

• Flexible compensation based on individual qualifications • Background check and ID verification as part of offer process