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:
We are looking for a strategic, data-driven Senior Product Manager to lead our Marketing & Media Analytics product portfolio. This leader will own the vision, strategy, and roadmap for the capabilities that enable smarter media investment, stronger measurement, and faster decision-making across the marketing ecosystem. The ideal candidate brings deep product management expertise, strong fluency in analytics and experimentation, and a practical understanding of media, attribution, audience strategy, marketing technology, and the data foundations that power modern activation and measurement. This is a highly cross-functional role at the intersection of marketing, analytics, data science, engineering, and external data partners, with clear accountability for delivering products that drive measurable business impact.
Key Responsibilities
Own the product vision, strategy, and roadmap for marketing and media analytics, aligned to enterprise priorities and marketing outcomes.
Partner across marketing, media, analytics, finance, data science, and engineering to identify high-value opportunities and translate them into clear product direction.
Lead products and capabilities across campaign measurement, attribution, incrementality, audience analytics, forecasting, experimentation, performance reporting, and optimization.
Shape a clear point of view on KPI frameworks, measurement design, data quality, governance, and how analytics should inform investment decisions.
Work closely with engineering and data teams to define data requirements, instrumentation, model dependencies, and scalable platform capabilities.
Evaluate external platforms and partners across the martech, adtech, identity, and data collaboration ecosystem, and help drive build, buy, or partner decisions.
Define success metrics, drive adoption, and measure impact through business outcomes including efficiency, speed to insight, and return on media investment.
Communicate strategy, tradeoffs, progress, and outcomes clearly to senior leaders and cross-functional stakeholders.
QUALIFICATIONS:
6+ years of product management experience, including meaningful experience in analytics, marketing technology, adtech, media measurement, or related data products.
Strong understanding of digital marketing and media fundamentals, including channel strategy, targeting, measurement, attribution, testing, optimization, and the underlying data flows that support activation and performance analysis.
Experience building data-intensive products, analytics platforms, measurement solutions, or workflow tools used by marketers, analysts, or media teams.
Experience working with media campaign data and external data ecosystems, including onboarding, audience matching, identity or activation partners, and privacy-conscious approaches to data sharing and measurement.
Practical familiarity with analytics workflows, BI tools, experimentation frameworks, and third-party data collaboration environments such as LiveRamp and clean rooms.
Strong strategic thinking, executive communication, and cross-functional leadership skills, with the ability to influence without direct authority.
Bachelor’s degree in business, marketing, economics, computer science, engineering, statistics, or a related field.
Preferred Qualifications
Experience in retail, e-commerce, consumer technology, media, or other high-scale customer acquisition and retention environments.
Knowledge of advanced measurement approaches such as MMM, multi-touch attribution, incrementality testing, lift analysis, and audience performance measurement.
Familiarity with modern martech and adtech ecosystems, including CDPs, ad platforms, clean rooms, identity and data collaboration platforms, web and app analytics, and experimentation tools.
Experience partnering with data science teams on predictive models, optimization algorithms, or advanced measurement use cases.
MBA or advanced degree in a relevant discipline.
VIRTUAL REQUIREMENTS:
At DICK’S, we thrive on innovation and authenticity. That said, to protect the integrity and security of our hiring process, we ask that candidates do not use AI tools (like ChatGPT or others) during interviews or assessments.
To ensure a smooth and secure experience, please note the following:
Cameras must be on during all virtual interviews.
AI tools are not permitted to be used by the candidate during any part of the interview process.
Offers are contingent upon a satisfactory background check which may include ID verification.
If you have any questions or need accommodations, we’re here to help. Thanks for helping us keep the process fair and secure for everyone!
Targeted Pay Range: $95,200.00 - $158,800.00. This is part of a competitive total rewards package that could include other components such as: incentive, equity and benefits. Individual pay is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all teammate pay regularly to ensure competitive and equitable pay.DICK'S Sporting Goods complies with all state paid leave requirements. We also offer a generous suite of benefits. To learn more, visit www.benefityourliferesources.com.
Similar Jobs
What you need to know about the Los Angeles Tech Scene
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
