Product Manager - Data Monetization

10 - 15 years

30 - 45 Lacs

Posted:12 hours ago| Platform: Naukri logo

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About the Role

Product Leader

Key Responsibilities

  • Define and lead the

    data monetisation strategy

    , identifying opportunities to commercialise internal and external data assets.
  • Build and manage the

    product roadmap

    for data products and platforms in alignment with business goals.
  • Partner with data engineering, analytics, and business teams to develop scalable and compliant data products.
  • Evaluate market trends, customer insights, and emerging technologies to identify new monetisation opportunities.
  • Ensure all data monetisation activities comply with privacy, governance, and security standards.
  • Develop and manage partnerships with external vendors, data marketplaces, and technology partners.
  • Drive measurable revenue and growth outcomes through data product initiatives.
  • Mentor and guide cross-functional teams, fostering a culture of innovation and accountability.

Key Skills & Experience

  • Proven experience in

    Product Management

    within

    Data, Analytics, or Platform

    domains.
  • Strong understanding of

    data monetisation models

    (subscription, insights-as-a-service, APIs, marketplaces, etc.).
  • Experience working with

    big data platforms

    , cloud ecosystems (AWS, Azure, GCP), and

    data governance frameworks

    .
  • Excellent business acumen with the ability to translate data capabilities into commercial outcomes.
  • Strong stakeholder management and communication skills across technical and business teams.
  • Leadership experience in scaling product teams and managing complex product portfolios.

Preferred Qualifications

  • MBA or equivalent degree in Business, Technology, or Data-related fields.
  • Familiarity with

    AI/ML-driven insights

    and

    data marketplace models

    is a plus.

Why Join Us

  • Lead a high-impact initiative shaping the company’s data monetisation strategy.
  • Work with cutting-edge technologies in data, analytics, and AI.
  • Opportunity to drive measurable business growth and innovation.

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