Senior PM, Financial Data Intelligence - Remote

OpenKrill; United States; A distancia; USD 160.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Home office stipend

Flexible hours

Premium Health Insurance

401(k) with matching

Parental leave

Descripción de la vacante

Dave is seeking a Senior Product Manager, Financial Data Intelligence, to own the strategy and roadmap for the platform that ingests and analyzes financial data for underwriting and member experience. You will transform raw transaction data and third-party signals into trusted decisioning signals and drive cross-functional partnership with Engineering, Data Science, Growth, and Compliance.

You will lead data-source discovery, manage data vendors, and define KPIs tying data quality to business

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Product management

Fintech / financial data

Data platforms

Vendor management

SQL

BI tools (Mode, Looker, Tableau)

Communication

Agile

AI tools for data analysis

Educación

Bachelor's degree in Statistics, Economics, Science, or Engineering, or equivalent practical experience

Herramientas

SQL

Mode

Looker

Tableau

Descripción del empleo

Dave is seeking a Senior Product Manager, Financial Data Intelligence, to own the strategy and roadmap for the platform that ingests and analyzes financial data for underwriting and member experience. You will transform raw transaction data and third-party signals into trusted decisioning signals and drive cross-functional partnership with Engineering, Data Science, Growth, and Compliance.

You will lead data-source discovery, manage data vendors, and define KPIs tying data quality to business