• Partner with Applied ML engineers to define the requirements for discovery and ranking algorithms. • Identify and prioritize the data signals that will improve model accuracy and conversion. • Establish KPIs for the roadmap to translate directly into business growth. • Act as the Product Owner for our internal experimentation tools and define the technical requirements. • Collaborate with Engineering to design and enforce a robust event-tracking schema. • Manage the lifecycle of data products from ingestion and transformation to final consumption in the app or ML models. • Serve as the technical translator between the Data/ML teams and the core Product, Design, and Engineering squads. • Lead the evaluation of third-party technical vendors vs. building proprietary in-house solutions. • Work with the XFN Stakeholders to ensure the technical data roadmap is synced with other teams.