Senior Product Manager - Marketing & Media Analytics

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

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.

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.