Senior Product Manager, Financial Data Intelligence

Dave is a financial app building products that level the financial playing field, offering credit products such as ExtraCash for financially vulnerable Americans. The Financial Data Intelligence team builds and runs the financial data layer behind underwriting, collections, and the member experience. The Senior Product Manager, Financial Data Intelligence will own the strategy and roadmap for that platform, turning raw bank transactions, account aggregation, and third-party data into trusted signals for credit decisions. The role reports to the Director of Product Management and works closely with Engineering, Data Science, Growth/Marketing, and Compliance. Dave is a virtual-first company where team members can live and work anywhere in the United States, except Hawaii.

Responsibilities

Own the platform roadmap for the financial data platform, covering vendor integration, ingestion, normalization, storage, and access for downstream use cases; Partner with Data Science and Engineering to build data products and signals, such as income detection, cash-flow features, and repayment indicators; Lead discovery and evaluation of new financial data sources, APIs, and partnerships beyond core bank data, and take the best of them from pilot to production; Own relationships with data aggregators and third-party data providers, balancing coverage, cost, and performance; Set standards and monitoring for data accuracy, coverage, latency, and compliance; Define and report on platform KPIs and tie data improvements to business outcomes such as approval rates, loss rates, and member retention; Drive opportunities where financial data can unlock new credit products, features, and member experiences

Requirements

5+ years of product management experience, including 2+ years in fintech, lending, or financial data products; Strong understanding of financial data systems, such as transaction data, account aggregation, credit bureau data, or payments infrastructure; A proven track record of building data platforms, APIs, or decisioning systems in a regulated environment; Experience managing external vendors and data partners, from evaluation and contracting input through integration and ongoing performance management; Strong analytical skills, comfortable using SQL and BI tools such as Mode, Looker, or Tableau; Excellent communication skills, with the ability to translate complex data and risk requirements into clear product specs and bring Engineering, Data Science, and business teams along; A strong sense of urgency, acting like a business owner and moving quickly to test, validate, and ship without cutting corners on data quality; Proven ability to use AI tools to speed up data analysis, product discovery, and execution; Bachelor's degree in a quantitative field such as Statistics, Economics, Science, or Engineering, or equivalent practical experience

Nice to have

Experience with cash advance, credit, or lending products; Knowledge of underwriting, repayment prediction, or risk modeling; Familiarity with Plaid, MX, Finicity, or similar data aggregation platforms; Hands-on familiarity with data pipelines, data modeling, or ML feature engineering; Experience running A/B tests or champion/challenger experiments to measure the impact of new data or model changes

Benefits

Opportunity to tackle tough challenges and learn from top talent; Flexible hours and virtual-first work culture with a home office stipend; Premium Medical, Dental, and Vision Insurance plans; Generous paid parental and caregiver leave; 401(k) savings plan with matching contributions; Financial advisor and financial wellness support; Flexible PTO and generous company holidays, including Juneteenth and Winter Break; All-company in-person events once or twice a year and virtual events throughout the year