Data Product Owner
Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026.
Fullstack Lead
Full-Stack Developer (React + Python)- 6+yrs-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
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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
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.