Data Product Manager

5 days ago

Bengaluru, Karnataka, India beBeeManager Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About This Role

We are seeking a skilled Data Product Manager to lead the development of our data intelligence products. The ideal candidate will have a deep understanding of big data architecture and cloud data warehouses, as well as experience in building data or analytics products that deliver business insights.

Key Responsibilities

  • Own the full lifecycle of our data intelligence products from concept to launch and ongoing refinement.
  • Define the product vision and roadmap for insights derived from geospatial, mobility, behavioral, and commerce data.
  • Lead cross-functional teams to design, develop, and scale analytics products that turn raw data into intuitive, decision-ready outputs.
  • Collaborate with data science, engineering, and UX to translate complex data pipelines into clear user experiences and workflows.
  • Partner with clients, commercial teams, and industry stakeholders to identify high-impact use cases and ensure our solutions are driving measurable outcomes.
  • Write clear product specs, epics, and user stories with a deep understanding of the underlying data architecture and business logic.
  • Drive AI adoption across product org.
  • Prioritize features, manage development timelines, and drive agile execution.
  • Monitor product performance, gather feedback, and continuously iterate on features and functionality.

You Will Need to Succeed

  • 7+ years of product management experience in SaaS or enterprise data platforms.
  • Proven track record of building data or analytics products that deliver business insights and value.
  • Strong understanding of big data architecture, cloud data warehouses (Snowflake, BigQuery, etc.), and ETL/ELT pipelines.
  • Hands-on expertise in SQL and familiarity with Python or JavaScript is a strong advantage.
  • A deep appreciation for data especially geospatial, behavioral, or mobility data and how it drives business decisions.
  • Excellent communication and stakeholder management skills.
  • Prior experience working with or alongside data science, ML, or analytics teams is highly desirable.

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