Product Owner (Data Platforms)

Data Product Manager

Bengaluru, IND

Role Overview:

Collabera is hiring a Data Product Manager for a leading banking client in Bangalore. This role will lead the strategy, design, and delivery of scalable, reusable data products within Retail Banking, enabling data-driven decision-making through strong governance, advanced analytics, and cross-functional collaboration.

Required Skills & Qualifications:

• 8-12 years of experience with strong exposure to data product management / technical product ownership
• Hands-on expertise in SQL, Python, AWS data services, and Spark ETL
• Strong understanding of data governance concepts: metadata management, data lineage, and data quality frameworks
• 
  Familiarity with cloud architecture and CI/CD tools (e.g., GitHub)
• Exposure to AI/ML tools and experience in building POCs for automation (preferred 1–2 years)
• Solid understanding of data mesh architecture and distributed data ecosystems
• Strong stakeholder management and cross-functional collaboration skills
• Techno-functional mindset with the ability to work closely with engineering teams

Key Responsibilities:

• Lead end-to-end delivery of data products across service domains, ensuring alignment with business and consumer needs
• Manage and govern metadata, data lineage, and data quality across data products
• Work extensively with AWS data services (Athena, Glue, Redshift) for data querying, transformation, and storage
• Collaborate with engineering teams to understand and review Spark ETL pipelines and data transformations
• Drive adherence to data governance frameworks, including access controls, compliance, and lifecycle phase gates

Looking to get Placed? Try our Placement Guarantee Plan

Get Hired
• Partner with stakeholders across domains (Retail, Risk, Treasury, Corporate, HR) to enable data product adoption
• Contribute to data mesh architecture implementation and ensure effective producer-consumer data relationships
• Leverage AI tools to support automation of governance processes and lifecycle management
• Act as a bridge between business and engineering teams, guiding implementation and architectural decisions

Additional Information & Team Collaboration:

• Part of a squad comprising 7–10 members including engineers, tech leads, and data professionals
• Collaborate with global teams across Asia Pacific.
• Work within a high-demand, fast-paced data product environment
• Individual contributor role (no people management)
• Opportunity to work on large-scale, enterprise-grade data platforms in banking