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Data Product Manager – Lending & Pay Later

Astra TechAbu Dhabi Emirate, UAE1 months agoMid-Seniorfulltime
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About This 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 . 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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