The role involves defining and owning the product vision and roadmap for AI-enabled metadata management within an enterprise data strategy. The individual will translate business and regulatory requirements into functional specifications for metadata platforms and AI-driven solutions. Responsibilities include serving as a primary point of contact for metadata management with senior stakeholders and facilitating workshops to capture regulatory requirements. The position requires promoting the adoption of metadata practices across business lines to ensure consistent governance and accountability. Additionally, the role involves identifying opportunities to leverage AI for automating metadata discovery, classification, and control monitoring. The individual will also collaborate with data science and technology teams to validate models for regulatory and audit use cases.

The role requires a strong understanding of metadata management, including data lineage, cataloging, business glossary, and ownership. Candidates must possess deep knowledge of regulatory frameworks such as BCBS 239 and Basel III, as well as familiarity with Critical Data Elements and Critical Risk Measures. Strong stakeholder management and communication skills are necessary to influence across risk, finance, compliance, and technology departments. Additionally, proficiency in agile product management frameworks, specifically Scrum and backlog management, is required.