Data Product Owner

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 : 8+yrs

Location : Chennai

Np : Immediate to 30days

AI Lead Data Engineer (Level 4)

Role Summary

Technical leader responsible for the modernization and future-state architecture of the Sales Validation platform.

Responsibilities

• Lead Databricks architecture and delivery
• Drive Synapse-to-Databricks migration
• Establish engineering standards and reusable frameworks
• Mentor engineers and conduct design reviews
• Own technical delivery across major workstreams
• Drive performance optimization and scalability

Required Skills

Databricks (Highest Priority)

• Databricks
• PySpark
• Spark SQL
• Delta Lake
• Unity Catalog
• Databricks Workflows
• Databricks Asset Bundles
• Lakehouse Architecture

Azure Platform

• Azure Data Factory (ADF)
• ADLS Gen2
• Azure SQL
• Azure Security Patterns

Migration Experience

• Synapse Pipelines
• Synapse Spark
• Synapse SQL Pools
• Synapse Notebooks
• Synapse Data Flows
• Modernization of legacy ETL workloads

Engineering

• Advanced SQL
• Data Modeling
• GitLab CI/CD
• Performance Tuning
• Code Reviews

GenAI

• Hands-on experience with GenAI coding assistants (Claude Code, GitHub Copilot, or similar) for AI-assisted development.
• Prompt engineering skills - writing clear instructions and feedback to guide AI toward desired output.
• Ability to critically review and validate AI-generated code and content before use.
• Basic understanding of LLM concepts - RAG, context windows, hallucinations, and responsible AI practices.

Preferred

• Apache Airflow
• Snowflake
• Data Governance

Enterprise-scale Azure platform implementation

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Areas of responsibility

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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.

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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.

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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

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.