Product Manager - Credit Bureaus
New
Based in the United States, U.S. time zones preferredFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- Product ManagementRESTful APIsCompliance
Requirements
- Proven experience working with credit bureau data, APIs, attributes, scoring models, or related financial data products
- Background in product management within fintech, lending, credit infrastructure, or data-driven platforms
- Strong technical fluency with ability to collaborate closely with engineering and data teams on integrations and system design
- Deep understanding of data pipelines, normalization, reconciliation, and data quality frameworks
- Familiarity with regulatory and compliance considerations such as FCRA, permissible purpose, and financial data governance
- Strong analytical and problem-solving skills, with ability to operate in complex, ambiguous environments
- Excellent communication skills and ability to align stakeholders across technical and business functions
- Comfort working in fast-paced, mission-driven environments with high ownership expectations
Responsibilities
- Define and own the credit bureau product strategy across major bureaus and specialty data providers, aligning data capabilities with long-term platform goals
- Evaluate bureau datasets, attributes, scoring models, and APIs, and develop frameworks for comparison across accuracy, cost, latency, and coverage
- Lead full lifecycle bureau integrations including vendor evaluation, technical scoping, API design, data validation, rollout, and ongoing monitoring
- Partner with engineering and data teams to ensure accurate ingestion, normalization, reconciliation, and standardization of bureau data
- Translate bureau capabilities into consumer-facing features across debt identification, underwriting, repayment optimization, and credit improvement use cases
- Define and enforce data quality, compliance, and governance standards including FCRA requirements, permissible purpose, and auditability
- Monitor performance metrics such as data accuracy, match rates, uptime, latency, and integration reliability
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