Senior Product Manager Financial Data Intelligence
Summary
Senior Product Manager who owns the multi-quarter strategy and roadmap for Dave's financial data platform powering credit decisions — turning bank transactions, account aggregation, and third-party data into trusted signals for underwriting and repayment prediction. Day to day: vendor integrations, data-quality standards, SQL/BI analysis, and KPIs tied to approval and loss rates.
You will own the strategy and multi-quarter roadmap for a financial data platform supporting credit decisions. You will turn bank transactions, account aggregation, and third-party data into trusted signals; lead vendor integrations and partnerships; set data-quality standards; and measure platform outcomes. You will partner with engineering and data science to deliver data products that improve underwriting, repayment prediction, and new credit experiences.
Responsibilities
- Define and drive the multi-quarter financial data platform roadmap.
- Lead vendor integration, data ingestion, normalization, storage, and downstream access.
- Build financial data products and signals for income detection, cash-flow analysis, underwriting, and repayment prediction.
- Evaluate new financial data sources, APIs, and partnerships and take selected solutions from pilot to production.
- Manage relationships with data aggregators and third-party data providers.
- Set standards and monitoring for data accuracy, coverage, latency, and compliance.
- Define and report platform KPIs tied to approval rates, loss rates, and member retention.
- Identify opportunities for financial data to enable new credit products and member experiences.
Requirements
- 5+ years of product management experience, including 2+ years in fintech, lending, or financial data products.
- Understanding of financial data systems, including transaction data, account aggregation, credit bureau data, or payments infrastructure.
- Track record of building data platforms, APIs, or decisioning systems in a regulated environment.
- Experience managing external vendors and data partners through evaluation, contracting input, integration, and performance management.
- Ability to use SQL and BI tools such as Mode, Looker, or Tableau.
- Ability to translate complex data and risk requirements into product specifications.
- Ability to use AI tools for data analysis, product discovery, and execution.
- Bachelor's degree in a quantitative field or equivalent practical experience.
Benefits
- Flexible hours
- Virtual-first work culture
- Home office stipend
- Medical, dental, and vision insurance
- Paid parental and caregiver leave
- 401(k) plan with matching contributions
- Financial advisor and financial wellness support
- Flexible PTO
- Company holidays
- All-company in-person and virtual events