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SVP, Data Governance Lead

New York, NY, United States

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Apply at BNY Mellon

What you’ll work on

Full posting

We are seeking a Senior Data Governance leader to help strengthen how data is managed across the enterprise.

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

What you’ll bring

All qualifications

Preferred 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.
Qualification wording
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.

Posting record

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Live
First seen by us
Oct 15, 2026 · 1d ago
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3

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Job description

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SVP, Data Governance Lead - New York, NY

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 SVP, Data Governance Lead to join our Data Solutions & Services team. This role is located in New York, NY

Role Overview 

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.
     

To be successful in this role, we’re seeking the following: 

  • 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. 

 

Preferred Qualifications:

  • 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. 

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on eofe.fa.us2.oraclecloud.com. The employer’s form will show what is required.

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New York, NY, United States

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