VP, Business Data Management & Data Risk

MUFG•Jersey City, NJ

9d•$134,000 - $193,000•Hybrid

About The Position

The Data Office is seeking a Vice President, Business Data Management & Data Risk to help strengthen the quality, transparency, control, and accountability of business data across the organization. This role serves as a senior individual contributor and team lead responsible for partnering with business stakeholders to identify, assess, and address data-related risks that could impact decision-making, regulatory compliance, operational effectiveness, financial reporting, or risk management activities. The successful candidate will combine strong banking expertise, risk management experience, and data knowledge to improve how critical business data is managed throughout its lifecycle. This role will help establish trusted data by driving clear ownership, improving data controls, increasing transparency into data flows and usage, and supporting the adoption of enterprise business data management practices. While this role may support a small team of analysts, the primary focus is serving as a trusted advisor and change leader across business, risk, technology, and operational stakeholders.

Requirements

8+ years of experience in Data Management, Risk Management, Data and Analytics or related disciplines.
Strong understanding of operational risk, controls, governance, or business process management.
Experience assessing and mitigating business or data-related risks.
Ability to influence senior stakeholders and drive outcomes across organizational boundaries.
Strong analytical, problem-solving, and critical-thinking abilities.
Excellent written and verbal communication skills.
Demonstrated leadership experience, either through people management or leading significant cross-functional initiatives.
Bachelor's degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience

Nice To Haves

Experience within banking.
Exposure to data quality, data governance, or enterprise risk management.
Experience supporting audits, regulatory examinations, issue remediation, or control enhancement initiatives.
Familiarity with business data catalogs, data quality tools, or governance technologies.
Knowledge of risk-based control frameworks and governance operating models.

Responsibilities

Support the development of risk-based approaches to prioritize data management activities.
Help business stakeholders understand and manage risks associated with data sourcing, transformation, reporting, consumption, and governance.
Partner with business and risk stakeholders to identify and evaluate risks related to business data.
Assess the effectiveness of controls that support the accuracy, completeness, timeliness, and integrity of critical business data.
Monitor and escalate significant data-related risks, issues, and emerging concerns.
Establish and maintain clear accountability, ownership, and stewardship for critical business data.
Improve transparency into how data is defined, sourced, transformed, consumed, and controlled across the organization.
Drive consistent adoption of enterprise data standards, policies, and practices.
Partner with business teams to identify opportunities to simplify, standardize, and strengthen data management processes.
Support critical data elements, business glossaries, data inventories, data lineage, data quality controls, and reporting inventories.
Promote a culture of business ownership and accountability for data.
Partner with leaders across Business Units, Risk, Compliance, Finance, Technology, Operations, Audit, and Corporate Functions.
Facilitate discussions to resolve ownership disputes, data definition conflicts, and control gaps.
Influence stakeholders across organizational boundaries to drive sustainable improvements.
Serve as a trusted advisor to business leaders on data-related risks, controls, and governance practices.
Communicate complex issues in a practical, business-oriented manner.
Support implementation of data-related control frameworks and governance processes.
Identify opportunities to automate controls, improve monitoring, and reduce operational risk.
Help establish metrics and reporting to measure data quality, risk, and management effectiveness.
Partner with issue management, audit, regulatory, and control teams to support remediation activities.
Ensure data management practices remain aligned with evolving business, regulatory, and risk management expectations.