Senior Product Manager, Financial Data Intelligence
RemoteFull-timePosted 1w ago
About the role
Senior Product Manager responsible for the strategy and roadmap of Dave’s financial data platform, turning raw bank transactions, account aggregation, and third-party data into trusted signals to improve underwriting, collections, and member experience across credit products.
Responsibilities
- Own the platform roadmap: Define and drive a multi-quarter roadmap for the financial data platform. That covers vendor integration, ingestion, normalization, storage, and access for downstream use cases.
- Unlock smarter decisions: Partner with Data Science and Engineering to build data products and signals, such as income detection, cash-flow features, and repayment indicators, that improve underwriting and repayment prediction.
- Expand our data advantage: Lead discovery and evaluation of new financial data sources, APIs, and partnerships beyond core bank data. Take the best of them from pilot to production.
- Manage key partners: Own relationships with data aggregators and third-party data providers, balancing coverage, cost, and performance.
- Raise the bar on data quality: Set standards and monitoring for data accuracy, coverage, latency, and compliance, so every team that relies on this data can trust it.
- Own the numbers: Define and report on platform KPIs, and tie data improvements directly to business outcomes like approval rates, loss rates, and member retention.
- Shape what's next: Drive opportunities where financial data can unlock new credit products, features, and member experiences.
Qualifications
- 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. You're comfortable using SQL and BI tools such as Mode, Looker, or Tableau to inform decisions.
- 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 with you.
- A strong sense of urgency. You act like a business owner and move 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.
Benefits
- Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals
- 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 to connect with your team members and leadership team
Last updated Oct 15, 2026. Interested? Apply on the company site.
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