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.

Qualifications:

• Advanced degree in Computer Science or a related field, with a strong background in data management and exposure to AI solutions.
• Minimum of 7 years of experience in data-centric roles, with a proven track record of leading complex data projects.
• Demonstrated expertise in data architecture design, data modeling, and data engineering principles.
• Strong leadership and communication skills, with the ability to influence and collaborate across diverse teams.
• Experience working with large-scale data platforms and tools, including cloud-based solutions.
• Proficiency in data visualization and storytelling techniques to communicate complex data insights.
• Familiarity with regulatory requirements and data privacy laws, ensuring compliance in data management practices.
• Ability to stay updated with industry trends and emerging technologies, driving innovation within the organization.
• Excellent problem-solving and analytical skills, with a data-driven mindset.
• A passion for data-centric solutions and a commitment to driving business value through data-informed decision-making.

Responsibilities:

• Lead the design and development of data solution architectures to support AI initiatives.
• Collaborate with data scientists to groom user stories, ensuring alignment with business needs.
• Oversee the implementation and maintenance of data management systems, including data governance and quality assurance processes.
• Develop and execute data-centric strategies to drive business growth and efficiency.
• Foster a data-driven culture by promoting best practices and providing guidance to teams across the organization.
• Stay updated with industry trends and emerging technologies in data management and AI.
• Mentor and guide a high-performing team of data professionals, fostering a collaborative and innovative work environment.
• Ensure data security and privacy compliance, adhering to regulatory standards and internal policies.
• Partner with business stakeholders to understand their data requirements and translate them into actionable plans.