Vice President, Data Quality Governance

About the role

We're seeking someone to join our team as a Data Quality Governance VP in the Data Governance & AI Non-Financial Risk team to act as a leader within the Firm's Data Quality (DQ) Governance function with a specific focus on the end-to-end management of Data Quality Issues under the enterprise DQ Program.

Responsibilities

• Own and continuously enhance the enterprise DQ Issue Management Framework, ensuring alignment with policy, risk, and regulatory expectations.
• Lead end-to-end DQ Issue lifecycle management, ensuring timely identification, classification, remediation, and closure validation.
• Enforce consistent application of Issue severity, taxonomy, and escalation standards to drive accurate risk visibility and drive accountability for remediation delivery, ensuring sustainable fixes and prevention of Issue recurrence.
• Define and monitor KPIs/KRIs and reporting to assess issue trends, remediation effectiveness, and systemic risk exposure.
• Assess control effectiveness and challenge remediation actions to ensure alignment with policy and risk requirements.
• Partner with DDOs and NFR to ensure clear ownership, timely escalation, and alignment to enterprise Issue management standards.
• Deliver targeted training and guidance to strengthen execution of DQ Issue management responsibilities and drive continuous improvement through thematic analysis to identify systemic data quality risks and strengthen preventative controls.
• Assess and challenge Data Quality Standardized Risk as part of the annual Non-Financial Risk Assessment (NFRA), ensuring alignment between identified risks, issue inventories, and residual risk outcomes.

Requirements

• Bachelor's degree required; Master's preferred and a 8+ years of experience in Data Quality, Issue Management, Data Governance, or Risk Management.
• Deep understanding of Issue Management lifecycle (identification, classification, remediation, closure, and validation).
• Strong knowledge of Data Quality risks, data and control frameworks.
• Experience working with Issue Management platforms (e.g., IAT/OpenPages) and DQ tools (e.g., Collibra, Informatica, Talend).
• Strong understanding of regulatory expectations and governance frameworks (e.g., NFR, risk taxonomy alignment).
• Advanced analytical skills; proficiency in Excel or data/analytics tools for issue analysis and reporting.
• Demonstrated leadership experience managing cross-functional teams and complex remediation initiatives.
• Strong communication skills with ability to translate complex data/risk issues into actionable insights for senior stakeholders.

Qualifications

• Target base pay range: $120,000 - $210,000 per year at the commencement of employment.
• Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.