T&T | EAID | Product Owner | Manager | Delhi | Engineering
• Job requisition ID : 108224
• Location: Delhi
• Entity: Deloitte Touche Tohmatsu India LLP
The Team
Deloitte’s Technology & Transformation: EAD: Engineering practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.
Your work profile:
Technical Data Product Owner for an enterprise scale Digital Data product for BFSI
- Own product roadmap and delivery for the Enterprise data product, with clear accountability for scope, priorities, and business outcomes
- Work closely with business, technology, and downstream stakeholders to align requirements and drive execution
- Exhibit strong stakeholder management skills, with ability to manage expectations, resolve ambiguity, and bring teams to closure on priorities
- Translate business needs into well-structured, actionable requirements and ensure effective prioritization based on value, risk, and dependency
- Demonstrate strong data understanding and analytical capability, with hands-on proficiency in SQL and data analysis
Key Responsiblities -
- Apply structured problem-solving and critical thinking to break down complex issues, identify root causes, and support sound decision-making
- Bring high attention to detail in requirement definition, data validation, issue analysis, and product backlog
- Support data-led decision making by evaluating trade-offs, dependencies, and impact across business and technology teams
- Drive product ownership responsibilities across backlog management, requirement clarity, prioritization, and execution follow-through
- Ensure decisions are taken in a structured, fact-based manner with focus on business value, feasibility, and control adherence
- Technical Strength: SQL(Strong), Data Product understanding, Data Lineage, Data Modeling patterns, Data Warehousing, APIs & Integration
Graduation - B.E/B.Tech