About the role
As a Data Transformation Product Owner, you will take ownership of a series of business critical products, with your first focus being the Taxonomy Management product. You will be responsible for driving the design, validation, and integration of strategic product initiatives with the Data Transformation Programme’s wider strategy and roadmap. Your work will ensure that data product design supports our businesses and service lines, analytics use cases, and long-term scalability, balancing immediate delivery needs with future extensibility.
This role is highly execution-focused and requires solid ownership of data modelling, backlog delivery, architecture alignment, and UAT, working closely with data governance, data architecture, and engineering teams. You will report to the Director for Data Transformation and play a central role in establishing a scalable, governed foundation for the organisation’s analytics and client-facing products.
What the job involves:
Initially reporting to the Director of Data Transformation, you will:




· Own and prioritise the product backlogs end‑to‑end, translating concepts and user needs into high-quality epics and features, working with a BA to refine user stories, test cases and acceptance criteria.
· Lead UAT execution across Service Lines, defining test approaches, coordinating stakeholders, managing defect triage, and driving rapid iteration.
· Lead the integration of strategic product initiatives into the Databricks data platform, working closely with data architects and engineers to translate product requirements into scalable data models, and actively contributing to architecture decisions and trade-offs.
· Work with the Data Architect and Data Engineer to translate conceptual designs into practical data model implementations, defining how data is ingested, transformed, and made available for downstream use.
· Define and manage how the end-to-end data lifecycle is applied across strategic product initiatives, ens

📌 Data Transformation Product Manager (Mumbai)
🏢 Crisil
📍 Mumbai