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. • 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. • 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.