Embed Data Strategy: Partner with vertical Product Managers and Engineering leads during the design phase of new features.
Design Review: Act as a technical reviewer for major product initiatives, asking the critical questions.
Standardization: Establish the standards for how our Product team defines data requirements.
Data Modeling: Oversee the logical data model within our Core Applications and Salesforce.
Lineage & Overrides: Own the logic for Data Lineage and Data Overrides.
Governance at the Source: Implement "Governance by Design" by working with Engineering to build validation rules.
The Analytics Bridge: Serve as the primary liaison between the Product/Engineering organization and the Analytics/Data Science teams.
Translation: Translate complex analytical requirements into actionable engineering tickets.
Data Availability: Ensure that the data generated by our products is accessible, documented, and structured.
Requirements
5+ years of strategic product management experience in FinTech, lending, or a regulated financial services environment.
2+ years of direct, dedicated experience establishing or leading a formal Data Governance program, Data Stewardship practices, or Master Data Management (MDM) strategy.
Expertise in data quality assurance, data lineage, and metadata management, with experience implementing data catalogs or data dictionary tools.
Solid understanding of lending data lifecycles (e.g., application, servicing, collections) and the compliance requirements (TCPA, FDCPA, etc.) inherent in revenue-based financing or related credit products.
Demonstrated experience with API integrations and managing complex, high-volume data flows between disparate systems.
Strong analytical skills with a proven track record of using data and governance principles to define product strategy and measure results.
Bachelor’s degree in Business, Finance, Computer Science, or a related quantitative field.