Vice President, Data Management & Quantitative Analysis

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 Vice President - Data Governance & Data Modeling to join our Asset Servicing team. This role is located in NYC, NY.

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

We are seeking a Vice President - Data Governance & Data Modeling to support enterprise data management and governance priorities. This role requires a candidate with a Computer Science background, strong hands-on data modeling experience, and practical knowledge of data governance within the finance industry.

Key Responsibilities

• Design and maintain conceptual, logical, and physical data models.
• Support data governance activities including data quality, lineage, metadata, and stewardship.
• Partner with business and technology teams to define data standards and controls.
• Help identify and remediate data issues to improve consistency, integrity, and usability.
• Contribute to scalable data solutions that support reporting, analytics, and operational needs.

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

• Bachelor's degree or equivalent combination of education and experience.
• 5+ years of experience in the finance industry.
• Hands-on experience with data modeling and database programming (PLSQL)
• Strong understanding of data governance, including data quality, lineage, metadata, and controls.
• Familiarity with applied AI and its use in data, analytics, or governance processes.
• Strong analytical, problem-solving, and communication skills.
• Experience in financial services data domains such as client, product, transaction, or reference data.
• Familiarity with data governance or metadata management tools.
• Experience working in a regulated environment.