Senior Data Product Manager - Marketing (m/f/d)

Our tech environment You don't need to be a Data Engineer yourself, but you should have a strong understanding of modern data platforms, data models, pipelines and marketing measurement methodologies. You'll be comfortable working closely with technical experts, challenging solutions and translating complex marketing requirements into scalable data products. Databricks • dbt • Power BI • Microsoft Fabric • Azure Cloud • Modern Data Platforms • Marketing Analytics • Data Products • Jira • Confluence About your tasks • Build and shape our new Marketing Data & Measurement team , helping establish the foundations, ways of working and product capabilities needed to support data-driven marketing decisions. • Own and drive the Marketing Data Product roadmap , translating the measurement strategy defined by Marketing and Marketing Analytics into scalable products and capabilities, including Attribution, Customer Lifetime Value (CLV), Marketing Mix Modeling (MMM) and incrementality testing. • Own the technical foundation of our Marketing Data Products , working closely with Data Engineering and IT to develop reliable data models, pipelines and integrations of new data sources into our existing data stack. • Translate business challenges into product opportunities , working with Marketing and Marketing Analytics to understand underlying business problems, prioritize features and continuously improve the performance and adoption of our data products. • Drive adoption and business value , ensuring Marketing Data Products are embedded into day-to-day marketing decisions and deliver measurable outcomes through clear product metrics, stakeholder feedback and business KPIs. • Act as the key interface between Marketing, Marketing Analytics, Data Engineering and IT , aligning stakeholders on priorities, dependencies, technical requirements and delivery. • Lead cross-functional collaboration , working with Product teams, Data Engineers, Analysts and technical stakeholders to turn marketing measurement requirements into scalable, reliable solutions. • Own backlog management and agile delivery , managing priorities, sprints and stakeholder expectations using Jira and Confluence while balancing new capabilities, technical improvements and operational requirements. • Enable scalable and reliable marketing analytics , supporting the development of a modern data platform that empowers Marketing Analytics teams with accessible, reusable and trustworthy data products. • Ensure data quality and governance , establishing clear standards for reliability, consistency and accessibility across all products delivered by the Marketing Data & Measurement team.