Vice President, Data Quality Governance

Morgan Stanley•Dallas, TX

2d•$120,000 - $210,000•Onsite

About The Position

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. The candidate will lead the implementation, oversight, and continuous enhancement of the DQ Issue Management framework, including issue identification, classification, root cause analysis, remediation tracking, and closure validation. In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm's management of legal, regulatory and franchise risk. This is a Vice President level position within the Data Quality team. The role requires close partnership with Divisional Data Offices (DDOs), the Technology Firmwide Data Office (FDO), peer teams within the Data Governance Office, and Non-Financial Risk (NFR) functions to ensure consistent application of issue management standards, clear ownership, and timely escalation of material data quality risks. The successful candidate will drive adherence to policy requirements, strengthen controls to prevent recurrence of issues, and improve transparency through robust reporting and governance forums. This role is also responsible for embedding sustainable practices across the data quality lifecycle, including integration with data lineage, control frameworks, and remediation action plans.

Requirements

Bachelor's degree required; Master's preferred
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
Experience in training, mentoring, and driving adoption of best practices

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.