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# SVP, Data Governance Lead

- **Company:** The Bank of New York Mellon Corporation
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Data Governance, Metadata, Meta-Data Management, Enterprise Data Management, Information Technology, Data Management
- **Published:** October 16, 2026
- **Apply:** https://diversityjobs.com/career/18648387/Svp-Data-Governance-Lead-New-York-New-York

## About the Role

* Bachelor's degree in computer science, information technology, mathematics/statistics or the equivalent combination of education and experience is required.
 * 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., * 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.

## Description

We are seeking a Senior Data Governance leader to help strengthen how data is managed across the enterprise. This role will lead efforts to improve data quality, metadata, governance, and data risk management while partnering with business and technology teams to ensure data is trusted, well-documented, and fit for business, analytics, and AI use.

In this role, you'll make an impact in the following ways:

 * 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 data management across the enterprise.
 * Oversee the identification, onboarding, and maintenance of trusted data sources for critical business use cases.
 * Ensure key datasets are documented with clear ownership, business definitions, lineage, and quality controls.
 * 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 the use of trusted, well-governed data for analytics, automation, and AI initiatives.