Senior Vice President, Data Governance at BNY
New York, New York, United States -
Full Time


Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

0.0

Posted On

13 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Governance, AI Governance, Risk Management, Product Management, Regulatory Change, Process Engineering, Policy Codification, Leadership, Problem Solving, Governance Automation, Controls Integration, Process Design, Documentation, Compliance, Metrics, Stakeholder Communication

Industry

Financial Services

Description
Bachelor's degree in a relevant field (e.g., computer science, engineering, data/AI, risk management) or equivalent work experience 9-11 years experience in the securities or financial services industry preferred; familiarity with enterprise governance frameworks and regulatory expectations. Deep subject matter expertise in AI Governance within Financial Services, including production governance, resiliency, controls, and change/issue management. Functional expertise relevant to the domain (e.g., Product Management of AI features, Controls, Regulatory Change, risk/compliance alignment, process engineering and policy codification). Proven leadership experience influencing executives and cross‑functional stakeholders; able to communicate a compelling vision and drive alignment. Demonstrated ability to solve problems pragmatically and decisively using available evidence; comfortable operating hands‑on while scaling through process and automation. Experience designing and implementing governance automation and integrating controls into AI platforms and tooling. Strong skills in process design, documentation, and measurement (e.g., governance KPIs, resiliency metrics, compliance adherence). Here's a few of our recent awards: America's Most Innovative Companies, Fortune, 2025 World's Most Admired Companies, Fortune 2025 “Most Just Companies”, Just Capital and CNBC, 2025

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Responsibilities
The Senior Vice President, Data Governance will lead the development and implementation of data governance frameworks and practices within the organization. This role requires influencing executives and cross-functional stakeholders to ensure alignment with governance objectives.
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