Vice President, Data Management & Quantitative Analysis

About the role

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 is all about. Join us and be part of something extraordinary. We’re seeking a future team member in the role of Vice President, Data Management & Quantitative Analysis to join our Data Solutions and Services team. This role is in Pittsburgh, Pennsylvania. Data Solutions & Services is focused on implementing enterprise data & governance, delivering the firm’s master data strategy, driving holistic access to data via our Lake, and enabling the business to deliver advanced outcomes for ourselves and our customers using AI/ML techniques.

Responsibilities

• Ensuring the quality, integrity, and governance of metadata across the organization’s data landscape.
• Be a strategic partner in a team responsible for defining, implementing, and maintaining metadata standards and practices to support data governance, data lineage, and data management activities.
• Support the creation of a comprehensive metadata management strategy aligned with the organizations data governance and data management objectives.
• Partner with technology and business partners to adhere to metadata standards, policies, and procedures to ensure consistency, accuracy, and completeness of metadata across various data domains and systems.
• Direct and provides guidance on the analysis and design of data models and logical databases at the data element level consistent with the corporate architectural models.
• Support the design and implementation of metadata repositories and tools to capture, store, and management metadata effectively.
• Collaborate with stakeholders across the organization, including data owners, data stewards, and IT teams, to gather metadata requirements and ensure alignment with business objectives.
• Support data lineage and impact analysis activities by ensuring the accuracy and completeness of metadata documentation and lineage mappings.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. - Advanced degree preferred.,