Product Manager, Financial Data Solutions

CSI•Remote - Texas, TX

17d

About The Position

This role owns data products that use financial transaction data to generate meaningful consumer and business insights. These products provide foundational intelligence for broader digital banking and engagement solutions. The Product Manager partners closely with data science and engineering teams to turn complex data into reliable, high-value capabilities and independently drives work forward once direction is established. The role owns and evolves product strategy and roadmaps, researches market and client needs, and prioritizes capabilities and trade-offs. It drives the development of decision-ready and predictive data products, and productizes data and APIs so other teams can build data-driven experiences. The Product Manager leads integration of predictive and machine-learning models into scalable production features, defines quality metrics, and translates ambiguous data problems into clear technical requirements. The position also enables adoption across product and engineering teams through clear contracts, documentation, support models, and proactive monitoring of usage. It champions data quality, accuracy, and trust, and ensures products meet privacy, security, and regulatory expectations for financial services in partnership with risk and compliance stakeholders. The role advances data outputs toward prescriptive, decision-ready capabilities grounded in customer needs.

Requirements

At least 7 years of product management experience, with a strong emphasis on data-centric or ML-powered products.
Experience in financial services, banking, or payments is required.
Comfort treating data and APIs as products, with strong SQL and data fluency.
Track record partnering with data science and engineering teams to ship data-driven capabilities from concept to production.
Bachelor's degree in a quantitative, technical, or business discipline.

Nice To Haves

Master's degree.
Experience with predictive or forecasting data products.
Background spanning consumer and small-business financial products.
Familiarity with modern cloud data architectures and the modern data stack, such as Snowflake and dbt.

Responsibilities

Own and evolve a cohesive strategy and roadmap for data products that transform large-scale financial transaction data into consumer and business insights.
Conduct market and client research to understand financial goals and pain points, and translate findings into a prioritized roadmap.
Make prioritization and trade-off decisions across competing opportunities.
Drive development of data products that provide meaningful, decision-ready insights for consumers and businesses.
Develop predictive data products that anticipate consumer and business financial needs.
Productize data and APIs for use by other product teams.
Lead integration of predictive and machine-learning models into the data product suite, partnering with Data Science and Engineering to move capabilities from proof of concept to scalable production features.
Define quality metrics and maintain a high bar for deterministic, trustworthy outputs.
Translate complex, ambiguous data problems into clear requirements for technical teams.
Partner with product and engineering teams to ensure new data capabilities are understood, trusted, and adopted.
Define contracts, documentation, and support models for downstream teams.
Monitor product usage and adoption, and proactively remove barriers to adoption.
Champion data quality, accuracy, and trust.
Ensure data products meet financial-services privacy, security, and regulatory expectations in partnership with risk and compliance stakeholders.
Advance data outputs from descriptive to prescriptive, decision-ready capabilities grounded in customer needs.