Job Description
Job Title:  Data Product Owner
City:  Chennai, Coimbatore
State/Province:  Tamil Nadu
Posting Start Date:  10/30/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Data Product Owner

Role Purpose

Exp : 12+yrs

Location : Chennai

Np : Immediate to 30days

Data Product Owner

Role Summary

This role is expected to be significantly more technical than a traditional Product Owner. The ideal candidate should have prior experience working closely with Data Engineering teams and owning complex data-driven platforms. The individual must be comfortable understanding data lineage, source systems, transformations, reconciliation logic, and data quality controls while also owning requirements, backlog, and business stakeholder engagement.

Responsibilities

·                     Own and prioritize the product backlog

Lead requirements discovery and business process analysis
Create user stories, acceptance criteria, and functional specifications
Conduct workshops with business stakeholders and engineering teams
Drive roadmap planning and release prioritization
Manage dependencies and open issues across multiple workstreams
Support UAT planning and business signoffs
Understand end-to-end data lineage and data flows
Partner with engineering teams on data sourcing, transformation, and validation requirements
Participate in solution reviews and architecture discussions
Analyze source-to-target mappings and reconciliation requirements
Facilitate discussions around data quality, governance, and reporting requirements
Required Skills

Product & Business Analysis

·                     Product ownership

Business analysis
Agile delivery
Story writing
Acceptance criteria creation
Backlog management
Prioritization frameworks
Stakeholder management
Data & Analytics

·                     Data lineage

Source-to-target mapping
Data quality frameworks
Data governance concepts
Data reconciliation
KPI and reporting requirements
Analytical problem solving
Technical Skills

·                     Advanced SQL

Ability to write and validate queries
Data modeling fundamentals
Understanding of ETL/ELT concepts
Understanding of Databricks and modern data platforms
Experience working with Data Engineers and Architects
Ability to analyze datasets and validate business outcomes
Unity log
Preferred Experience

·                     Banking or financial services

Sales operations
Incentive compensation
Revenue attribution
Salesforce
Data warehouse modernization initiatives

͏

Areas of responsibility

 

͏

Gathering of requirements-Assist in conducting workshops and discussions with client stakeholders to gather business process requirements.

Coding and Configuration-"Develop and deliver code for assigned modules, in alignment with client requirements ensuring proper integration with system components.

͏

Testing and Trial Runs-"Execute testing for assigned modules, validate functionality across required interactions, and participate in User Acceptance Testing (UAT) sessions.

Implementation-Participate in implementation of software application and its integration with other systems to ensure stability.

Maintain Documentation-Prepare detailed reports and documentation on project specifications, activities, and status, while presenting information using flowcharts, layouts, diagrams, code comments, and clear, well-structured code.

͏

Stakeholder Collaboration-Collaborate with cross functional teams  to understand requirements, support development activities, check system compatibility, and ensure solutions meet expected standards.

Data Product Owner

Role Summary

This role is expected to be significantly more technical than a traditional Product Owner. The ideal candidate should have prior experience working closely with Data Engineering teams and owning complex data-driven platforms. The individual must be comfortable understanding data lineage, source systems, transformations, reconciliation logic, and data quality controls while also owning requirements, backlog, and business stakeholder engagement.

Responsibilities

·                     Own and prioritize the product backlog

Lead requirements discovery and business process analysis
Create user stories, acceptance criteria, and functional specifications
Conduct workshops with business stakeholders and engineering teams
Drive roadmap planning and release prioritization
Manage dependencies and open issues across multiple workstreams
Support UAT planning and business signoffs
Understand end-to-end data lineage and data flows
Partner with engineering teams on data sourcing, transformation, and validation requirements
Participate in solution reviews and architecture discussions
Analyze source-to-target mappings and reconciliation requirements
Facilitate discussions around data quality, governance, and reporting requirements
Required Skills

Product & Business Analysis

·                     Product ownership

Business analysis
Agile delivery
Story writing
Acceptance criteria creation
Backlog management
Prioritization frameworks
Stakeholder management
Data & Analytics

·                     Data lineage

Source-to-target mapping
Data quality frameworks
Data governance concepts
Data reconciliation
KPI and reporting requirements
Analytical problem solving
Technical Skills

·                     Advanced SQL

Ability to write and validate queries
Data modeling fundamentals
Understanding of ETL/ELT concepts
Understanding of Databricks and modern data platforms
Experience working with Data Engineers and Architects
Ability to analyze datasets and validate business outcomes
Unity log
Preferred Experience

·                     Banking or financial services

Sales operations
Incentive compensation
Revenue attribution
Salesforce
Data warehouse modernization initiatives

 

Mandatory Skills: Enterprise Platform Engineering Backend .

 

Experience: 3-5 Years .

 

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
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