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Senior Data Product Manager (5-8 yrs experience)

paytm · Bengaluru

New
Senior 🇬🇧 English
SQL data modelling streaming batch processing AWS Spark EMR EC2 Hive Trino Superset data governance DPDPA dimensional modelling semantic layers taxonomy Claude Code Cursor

Job description

About the role

This is a senior Data Product Management role for someone who enjoys marrying business analytics problems to simplified data design solutions. You will own a portfolio within the Central Data and AI Product charter, lead a small, high‑leverage team (1–2 PMs and 1 analyst), and partner with engineering and business stakeholders to ship products that scale across the organisation.

Key responsibilities

  • Lead and grow a team of product managers and analysts – hiring, coaching, performance management, and career development.
  • Drive the end‑to‑end data product development lifecycle from discovery and scoping through delivery, adoption, and iteration.
  • Define and articulate product vision, strategy, and roadmap aligned with company goals and market trends.
  • Partner with cross‑functional teams – business, growth, risk, and data science – to understand customer needs and align product offerings.
  • Work closely with engineering on technical design, development, sprint planning, and prioritisation across the stack (AWS, Spark, EMR, EC2, Hive, Trino, Superset).
  • Manage senior stakeholders and executive communication – surface trade‑offs, drive alignment, and represent the data platform externally.
  • Leverage agentic development tools (Claude Code, Cursor, and similar) day‑to‑day to accelerate value delivery.

Required profile

  • 5+ years of Product Management experience, with 3+ years managing mid‑sized teams.
  • Strong command of SQL, data modelling, and both streaming and batch processing.
  • Working knowledge of the data stack (AWS, Spark, EMR, EC2, Hive, Trino, Superset).
  • Understanding of data governance and regulatory compliance (DPDPA).
  • Deep expertise in dimensional modelling, semantic layers, and taxonomy.

Required skills

  • SQL
  • Data modelling (dimensional, semantic, taxonomy)
  • Streaming and batch data processing
  • AWS cloud services, Spark, EMR, EC2, Hive, Trino, Superset
  • Agentic development tools such as Claude Code and Cursor

What we offer

  • A collaborative output‑driven program that brings cohesiveness across businesses through technology.
  • Opportunities to improve average revenue per use by increasing cross‑sell opportunities.
  • 360° feedback from peer teams on support of their goals.
  • Respect earned from peers and managers.

Questions fréquentes

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Source : ats:lever

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Published 19 hours ago

Expires 1 month from now

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paytm

Bengaluru