Note: The job is a remote job and is open to candidates in USA. DICK’S Sporting Goods is committed to creating an inclusive and diverse workforce. They are seeking a strategic Group Product Manager to lead their Data Science portfolio, responsible for defining the vision and execution of data science products that drive business impact.
Responsibilities
- Define and lead the multi-year vision, strategy, and roadmap for data science products and capabilities
- Lead and develop a team of senior Product Managers, setting a high bar for strategic thinking, product rigor, prioritization, and execution excellence
- Partner closely with Data Science, ML Engineering, Software Engineering, Analytics, UX, and business teams to translate user and business needs into scalable product solutions
- Lead the end-to-end lifecycle of data science products, from opportunity sizing and problem definition through experimentation, launch, activation, adoption, and optimization, ensuring model outputs drive measurable business impact
- Partner with Data Science, ML Engineering, and Data Engineering to productionize, scale, deploy, and monitor machine learning models within reliable production pipelines
- Establish operating alignment across Data Science teams and platforms to enable consistent model outputs, reusable capabilities, and scalable activation across the portfolio
- Advance activation and decisioning capabilities through data science, enabling more precise targeting, personalization, and optimization across channels
- Ensure the portfolio delivers measurable value through clear success metrics tied to user experience, engagement, conversion, revenue, efficiency, and ROI
- Ensure the portfolio delivers measurable value through clear success metrics tied to forecast accuracy, inventory efficiency, margin improvement, pricing effectiveness, service levels, and operational ROI
- Establish a cohesive portfolio strategy across model-driven experiences, decisioning systems, experimentation frameworks, and activation channels
- Translate complex machine learning concepts into clear, executive-ready narratives, priorities, and tradeoff decisions for senior stakeholders
- Create strong operating mechanisms across teams, including roadmap reviews, backlog prioritization, dependency management, release planning, and alignment to data and technology platform evolution
- Deliver data science products against defined OKRs, with clear accountability for impact, timelines, and efficient use of resources
- Build strong relationships with business and technology leaders to align on strategy, priorities, and delivery
- Influence and develop talent across Data Science, ML Engineering, and Analytics by setting a high bar for product thinking, experimentation rigor, and outcome-driven delivery
- Champion a disciplined product management approach to data science, including clear problem framing, hypothesis-driven development, experimentation, and post-launch learning
- Partner with legal, privacy, and governance teams to ensure responsible use of data and compliant deployment of data science capabilities
Skills
- 12 – 15 years of experience in data science, product, or related domains, preferably in data science product management, digital strategy, or technical product leadership
- Product management experience with a strong track record of leading complex, data-driven, or machine learning-powered products
- Demonstrated ability to lead cross-functional teams spanning Data Science, Engineering, Design, Analytics, and business stakeholders
- Deep understanding of experimentation, KPI design, measurement frameworks, and how to evaluate model-driven product performance in production
- Strong technical fluency in machine learning concepts, data products, decisioning systems, and applied AI/ML workflows, with the ability to partner effectively with technical teams without needing to be the hands-on builder
- Track record of defining strategy, building roadmaps, and delivering measurable business outcomes in fast-paced, highly matrixed environments
- Excellent written and verbal communication skills, with the ability to influence executive stakeholders and translate complexity into clear, business-oriented decisions
- Bachelor's degree in a relevant field required
- Advanced degree in business, computer science, engineering, analytics, data science, or a related discipline preferred
Benefits
- Incentive
- Equity
- Benefits
- DICK'S Sporting Goods complies with all state paid leave requirements
- We also offer a generous suite of benefits
Company Overview
Company H1B Sponsorship