Senior Vice President, Data Management & Quantitative Analysis Manager

Senior Vice President, Data Management & Quantitative Analysis Manager

At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

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.

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.