Senior Vice President, Data Management & Quantitative Analysis Manager

We’re seeking a future team member for the role of Senior Vice President, Data Management & Quantitative Analysis Manager to join our Risk & Compliance Analytics & Reporting team. This role is located in Pune.

In this role, you’ll make an impact in the following ways:

• Help formulate the RCAR data platform strategy, reference architecture, and capability roadmap; define standards for data models, canonical forms, and semantic layers.
• Define and implement RCAR’s end-to-end data architecture (ingest, transform, serve) and AI-enabled infrastructure to power self-serve analytics, advanced analytics, and regulatory reporting—anchored in SLAs/SLOs, observability, and resilience (DR/BCP).
• Build and govern a comprehensive metadata program—including catalog, lineage capture, classification, ownership (RACI), stewardship, and approval workflows—to improve discovery, traceability, and audit-readiness.
• Design and operationalize a data intelligence mesh that balances federated domain data products with centralized guardrails for quality, security, and interoperability; define shared contracts and interoperability standards.

To be successful in this role, we’re seeking the following:

• Bachelor's degree required; advanced degree in a quantitative area such as business, finance, engineering, or related disciplines; relevant industry certifications or qualifications are a plus.
• 10-12 years in data architecture, platform engineering, or data product leadership; experience in financial services and Risk/Compliance domains strongly preferred.
• Proven expertise in enterprise data design (dimensional/normalized models), canonical data forms, vectorization/embeddings, semantic layers, and distributed data systems.
• Hands-on experience with metadata cataloging, lineage, data governance, and access controls across regulated environments.
• People leadership requirement not specified in the provided context.