Product Manager - Data Jobs

EvoluteIQ

Location:
India, Bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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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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Product Manager - Data