Data Product Manager – Lending & Pay Later
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Key skills for this role
About the Role
Role Summary: We are looking for a Data Product Manager to build and manage the data ecosystem powering our lending and pay later products.
Key Skills for This Role
Full Job Posting
Role Summary
We are looking for a
Data Product Manager
to build and manage the data ecosystem powering our
lending and pay later products
.
The ideal candidate will have experience in
micro-lending or digital credit platforms
, with a deep understanding of how
data flows through the lending lifecycle
— from origination to repayment.
You will define how data is collected, structured, and leveraged for
credit decisioning, business insights, and AI deployment
, ensuring that data becomes a core enabler for smarter, faster lending decisions.
Key Responsibilities
- Own the
- data roadmap
- across the lending and pay-later ecosystem.
- Map and manage all
- data sources
- involved in the
- credit lifecycle
- (KYC, transaction, repayment, behavioral, and bureau data).
- Design and optimize
- data pipelines
- that support credit scoring, risk modeling, and AI systems.
- Collaborate with Product, Engineering, and Data Science teams to ensure
- data integrity, accessibility, and usability
- .
- Define data requirements for new products, features, and risk models.
- Build
- dashboards and metrics
- to monitor portfolio performance and business health.
- Enable
- AI and ML model deployment
- by ensuring high-quality, structured, and real-time data availability.
- Partner with compliance and BI teams to ensure
- data governance
- and regulatory alignment.
Key Requirements
- **5+ years of experience**
- in data or product management roles within
- lending, BNPL, or fintech ecosystems
- .
- Strong understanding of
- credit data, decision engines, and lending workflows
- .
- Experience with
- data platforms, APIs, and BI tools
- (e.g., Snowflake, BigQuery, Power BI, or Looker).
- Familiarity with
- AI/ML use cases in credit risk, collections, and personalization
- .
- Strong analytical mindset with ability to translate business needs into scalable data solutions.
- Proven cross-functional collaboration skills with product, data, and risk teams.
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