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Product Manager - Data

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EvoluteIQ

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Location:
India , Bengaluru

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are looking for an experienced Technical Product Manager – Data to drive the strategy, development, and delivery of data-driven capabilities within our low-code/no-code hyper-automation platform. The candidate should have deep expertise in batch and streaming data pipelines, high-volume data processing, and enterprise-scale production deployments. This role requires a mix of technical product management expertise, prior technical/engineering experience, and business acumen to build products that empower enterprises to process, transform, and act on data efficiently.

Job Responsibility:

  • Define and own the roadmap for data products, including ingestion, processing, storage, governance, and integration capabilities
  • Ensure alignment of data product strategy with the broader automation platform roadmap
  • Identify opportunities to embed data intelligence within automation workflows
  • Contribute to architecture and design discussions for batch and streaming pipelines
  • Define capabilities for ETL/ELT, schema evolution, and event-driven data processing with technical feasibility in mind
  • Work closely with data architects and engineers to ensure scalable, production-grade data solutions
  • Translate business requirements into detailed product specifications
  • Ensure compliance with data privacy, security, and governance frameworks
  • Oversee product lifecycle from concept through launch and continuous improvement
  • Document detailed requirements, epics, and user stories ensuring alignment with product strategy
  • Define and manage user acceptance criteria (UAC) for each feature
  • Act as the custodian of product quality, certifying readiness from an end-user perspective before market release
  • Collaborate with QA and stakeholders to ensure delivered features meet business and customer expectations

Requirements:

  • 15+ years of overall experience
  • Several years in technical/engineering roles (data engineering, software development)
  • 7+ years in product management
  • Strong understanding of Batch data processing (ETL/ELT workflows, scheduled jobs)
  • Expertise in Streaming data (Kafka, Pulsar, Kinesis, event-driven processing)
  • Experience with High-volume data systems (data lakes, warehouses, distributed processing)
  • Hands-on familiarity with Spark, Flink, Airflow, DBT, Snowflake, Databricks, BigQuery, Redshift, etc.
  • Experience with cloud-native architectures (AWS/GCP/Azure) and data services
  • Proven experience in taking data products to production at enterprise scale
  • Excellent communication and stakeholder management skills

Nice to have:

  • Technical background (B.Tech/M.Tech/MS in Computer Science, Data Engineering, or related Field
  • Hands-on experience with distributed data processing frameworks (Hadoop, Spark, Flink)
  • Understanding of data governance, lineage, and observability
  • Exposure to low-code/no-code data integration tools
  • Familiarity with real-time analytics and AI/ML data pipelines
What we offer:
  • Opportunity to shape the strategy of a next-gen hyper-automation platform
  • Work with a cross-disciplinary team in a fast-growing, innovation-driven environment
  • Competitive compensation and growth opportunities
  • A culture of innovation, ownership, and continuous learning

Additional Information:

Job Posted:
December 08, 2025

Employment Type:
Fulltime
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