Product Owner, Data & Analytics (ETL, Power BI)

Tata Consultancy Services Limited; San Francisco (CA); On-site; USD 90,000 - 115,000; Full time

Job summary

Tata Consultancy Services Limited in San Francisco, CA is seeking a Product Owner to lead end-to-end data, ETL, reporting, and analytics initiatives built on SQL Server, SSIS, SSRS, and Power BI.

You will translate stakeholder priorities into user stories, manage the backlog, and collaborate with architects, QA, and business users to deliver scalable data solutions with strong data governance and reliable production deployments.

Qualifications

• Extensive experience in technical project and product management for data analytics solutions.
• Strong expertise in ETL, data warehousing, and BI platforms (SQL Server, SSIS/SSRS, Power BI).

Responsibilities

• Own end-to-end vision, roadmap, and delivery of data, ETL, reporting, and analytics solutions built on SQL Server, SSIS, SSRS, and Power BI.
• Partner with business stakeholders to translate requirements into actionable user stories and manage the product backlog.
• Collaborate with architects, developers, QA, and business users to deliver scalable data integration and analytics while ensuring data quality and governance.
• Provide leadership during SIT, UAT, production releases, and issue resolution; communicate progress and roadmap updates to senior stakeholders.
• Demonstrate strong expertise in ETL, data warehousing, SQL Server, SSIS, SSRS, Power BI, stakeholder management, and Agile product ownership.

Skills

ETL

Data warehousing

SQL Server

SSIS

Power BI

Stakeholder management

Agile

Tools

SSIS

SSRS

Power BI

Job description

Tata Consultancy Services Limited in San Francisco, CA is seeking a Product Owner to lead end-to-end data, ETL, reporting, and analytics initiatives built on SQL Server, SSIS, SSRS, and Power BI.

You will translate stakeholder priorities into user stories, manage the backlog, and collaborate with architects, QA, and business users to deliver scalable data solutions with strong data governance and reliable production deployments.