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.