Senior Product Manager, Financial Data Intelligence

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and lead a strategic multi-quarter roadmap for the financial data platform.

• Oversee vendor integration, data ingestion, normalization, storage, and accessibility for downstream applications.

• Collaborate with Data Science and Engineering teams to create financial data products and signals, including income detection, cash-flow features, and repayment indicators.

• Spearhead the discovery and assessment of new financial data sources, APIs, and partnerships from pilot stages to full production.

• Maintain relationships with data aggregators and third-party data providers.

• Establish standards and monitoring for data accuracy, coverage, latency, and compliance.

• Define and report on platform KPIs and link data enhancements to approval rates, loss rates, and member retention.

• Identify opportunities where financial data can facilitate new credit products, features, and member experiences.

• Report to the Director of Product Management and work in collaboration with Engineering, Data Science, Growth/Marketing, and Compliance.

⛳️ Requirements

• Over 5 years of product management experience, with at least 2 years in fintech, lending, or financial data products.

• In-depth understanding of financial data systems, including transaction data, account aggregation, credit bureau data, or payment infrastructures.

• Demonstrated success in building data platforms, APIs, or decision-making systems within a regulated environment.

• Experience in managing external vendors and data partners, from evaluation and contract negotiation to integration and ongoing performance oversight.

• Strong analytical capabilities.

• Proficient in SQL and BI tools such as Mode, Looker, or Tableau.

• Exceptional communication skills with the ability to translate complex data and risk requirements into clear product specifications.

• Strong sense of urgency and ability to act swiftly without sacrificing data quality.

• Proven capability to leverage AI tools to expedite data analysis, product discovery, and execution.

• Bachelor’s degree in a quantitative discipline such as Statistics, Economics, Science, or Engineering, or equivalent practical experience.

• Experience with cash advance, credit, or lending products.

• Familiarity with underwriting, repayment forecasting, or risk modeling.

• Knowledge of data aggregation platforms like Plaid, MX, Finicity, or similar.

• Hands-on experience with data pipelines, data modeling, or ML feature engineering.

• Experience conducting A/B tests or champion/challenger experiments.

🏝️ Benefits

• Equity.

• Flexible hours.

• Virtual-first work culture.

• 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.

• Generous company holidays, including Juneteenth and Winter Break.

• All-company in-person events once or twice a year.

• Virtual events throughout the year to foster connections with team members and leadership.