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.