Data Product Owner
Job Summary
Full-Stack Developer (React Python)- 6yrs-12yrs |
Builds the web experiences for workflow visualization human-in-the-loop approvals dashboards governance and administration. |
Responsibilities |
Design and build web UIs for workflow visualization HITL approvals and live dashboards. |
Develop governance administration and configuration interfaces. |
Implement multi-tenant role-based and access-controlled front-end experiences. |
Build responsive accessible and performant interfaces integrated with backend APIs. |
Collaborate with backend and platform teams on API contracts and data flows. |
Ensure UI observability usability and quality. |
Mandatory Tech Stack |
Frontend:React TypeScript modern CSS / component libraries |
Backend-for-Frontend: Python API services |
APIs:REST /GraphQL WebSocket / SSE for real-time data |
Auth & Multi-tenancy:RBAC OAuth / OIDC tenant isolation |
Quality:Responsive design accessibility (WCAG) performance optimization |
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
Years of Exp - 13 Years
Location - Chennai
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
About Company
As a global leader, Wipro blends consulting and AI expertise across design, engineering and operations to accelerate business transformation and deliver future-ready technology.