Senior Product Manager, Marketing Intelligence & Data Platforms

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. 

• 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.