Senior Product Manager, Financial Data Intelligence

Dave is hiring a Senior Product Manager to own the strategy and roadmap for its financial data platform. The role turns bank transactions, account aggregation, and third-party data into trusted signals for underwriting, repayment prediction, and member experiences.

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

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
• 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
• 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