Group Product Manager - Data Science
Overview
We are seeking a strategic, user-obsessed Group Product Manager to lead DICK’S Sporting Goods' Data Science portfolio. This role will define the vision, strategy, and execution for data science products that shape experiences and drive measurable business impact.
Key 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.
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.
Promote 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.
Qualifications
12 – 15 years of experience in data science, product, or related domains, preferably in data science product management, digital strategy, or technical product leadership.
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.
Targeted Pay Range
$114,300.00 - $190,500.00.