VP of Data Product
Attain · Chicago, IL; New York, NY; Redwood City, CA
About this role
**VP of Data Product** **About Attain** Built for consumers and companies alike. We empower consumers to leverage their data in exchange for modern financial services, while helping businesses achieve better outcomes through ethical data sharing. **About the Role** Own our data as a business: the strategy, scientific integrity, and product trajectory of our underlying data asset and productionalized feeds. You'll decide *what we build, why it wins, and what it's worth*, ensuring everything shipped is scientifically defensible. **Three Product Families:** 1. **Telemetry of Attain's Data Asset** - End-to-end product ownership from Ingestion → Transformation → Consumption 2. **Marketing Science Feeds** - Consumer permissioned transaction data with derived products (incrementality signals, propensity scores, loyalty metrics) 3. **Extrapolated & Predicted Data** - Population projections, panel-to-population weighting, forecasted behaviors **Key Responsibilities** • Set multi-year data product strategy and roadmap • Lead Data Product PMs and execution teams (feed delivery, pipeline architecture, QA, vendor management) • Consult with data science to translate client needs into modeling agendas • Productize marketing science into licensed, explainable feeds • Apply AI/ML to advance prediction and scaling capabilities • Treat internal teams as first-class customers • Champion privacy and permissioned data leadership **What You Bring** • 3+ years leading teams with experience owning commercially licensed data products (feeds, scores, APIs) • Working fluency in marketing science and causal measurement • Experience directing data scientists and making ship/no-ship decisions • Deep understanding of transaction-level data, merchant/UPC structures, identity resolution • Track record converting data assets into business outcomes (licensing revenue, adoption) • Executive-level communication across SLT, clients, and engineering • Experience with consumer permissioned/panel data and privacy/compliance dimensions • Familiarity with retail media networks, CTV measurement, unified IDs • Ad tech startup/scale-up experience **Success Metrics** • Data product revenue growth, adoption, and retention • Documented, validated methodologies withstanding scrutiny • Scaled, high-functioning data product organization • Internal consolidation around canonical feeds • External recognition of Attain's data as credible standard *We encourage applications even if experience doesn't match every detail.*
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