T&T | EAID | Product Owner | Manager | Delhi | Engineering (Delhi, IN)
Deloitte
Deloitte
Join Deloitte's Technology & Transformation: Engineering practice, a leading force in harnessing data to drive business intelligence and advanced analytics. Our team empowers companies to extract maximum value from their data, transforming it into actionable insights for strategic decision-making. We specialize in areas like business intelligence, data management, performance management, and cutting-edge technologies including big data, cloud, and AI.
This role is crucial for developing and managing an enterprise-scale Digital Data product within the BFSI sector.
As a Technical Data Product Owner, you will be instrumental in defining and executing the product roadmap for our enterprise data product. Key responsibilities include managing scope, priorities, and business outcomes, fostering close collaboration with business, technology, and downstream stakeholders.
You will translate complex business needs into clear, actionable requirements, ensuring their effective prioritization based on value and dependencies. Strong stakeholder management is essential for managing expectations and driving consensus. A solid understanding of data, coupled with hands-on SQL proficiency for analysis, is vital for success in this position.
We are seeking individuals with a strong aptitude for structured problem-solving and critical thinking to dissect intricate challenges and support informed decision-making. A meticulous eye for detail is required for requirement definition, data validation, and issue analysis.
You will champion data-led decision-making by assessing trade-offs and interdependencies across various teams. This role demands proactive product ownership, encompassing backlog management, requirement clarity, prioritization, and ensuring execution. Decisions must be fact-based, prioritizing business value, feasibility, and compliance.
Essential technical proficiencies include strong SQL skills, a deep understanding of data products, data lineage, data modeling patterns, data warehousing concepts, and experience with APIs and integration.
Deloitte
Financial Services