SVP, Data Governance Lead

BNY Mellon•New York, NY

About The Position

BNY is seeking a Senior Data Governance leader to join its Data Solutions & Services team in New York, NY. The role will strengthen enterprise data management by improving data quality, metadata, governance, and data risk management. The successful candidate will partner with business and technology teams to ensure data is trusted, well-documented, and fit for business, analytics, and AI use.

Requirements

  • Bachelor’s degree in computer science, information technology, mathematics/statistics, or an equivalent combination of education and experience.
  • 7–10+ years of experience in data management, data governance, data quality, metadata management, or related disciplines.
  • 5+ years of leadership experience managing teams or enterprise-wide governance programs.
  • Strong understanding of data governance frameworks, data quality, metadata, lineage, and data ownership concepts.
  • Experience implementing governance programs in complex enterprise environments.
  • Strong stakeholder management, communication, and influencing skills.

Nice To Haves

  • Financial services industry experience.
  • Experience with industry governance or risk frameworks.
  • Knowledge of enterprise data operating models and large-scale data environments.
  • Experience supporting data governance for analytics or AI-enabled use cases.

Responsibilities

  • Lead enterprise data governance, data quality, metadata management, and data risk management activities.
  • Partner with business and technology stakeholders to implement data governance strategies, standards, and best practices.
  • Improve the consistency, transparency, and accountability of enterprise data management.
  • Oversee the identification, onboarding, and maintenance of trusted data sources for critical business use cases.
  • Ensure key datasets have clear ownership, business definitions, lineage, and quality controls documented.
  • Drive improvements in data quality controls, measurement, issue remediation, and reporting.
  • Identify, assess, escalate, and help mitigate data-related risks and governance issues.
  • Provide visibility into governance progress, data quality performance, and key risk themes.
  • Lead stakeholder engagement, governance forums, and cross-functional communications.
  • Support trusted, well-governed data use for analytics, automation, and AI initiatives.
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