Vice President, Data Quality Governance

Posted 3 Days Ago
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Dallas, TX, USA
In-Office
120K-210K Annually
Senior level
Fintech • Financial Services
The Role
Lead the enterprise Data Quality (DQ) Issue Management program end-to-end: establish and enhance issue management framework, drive identification, classification, root-cause analysis, remediation tracking, and closure validation. Partner with Divisional Data Offices, Technology FDO, and Non-Financial Risk to enforce standards, ownership, and escalation. Define KPIs/KRIs, assess controls, deliver reporting and training, and embed sustainable practices across data lineage, control frameworks, and remediation plans to reduce systemic DQ risk.
Summary Generated by Built In

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.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
What you'll do in the role:

  • 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.

What you'll bring to the role:

  • 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
  • Experience in training, mentoring, and driving adoption of best practices

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Expected base pay rates for the role will be between $120,000 and $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.  Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

Skills Required

  • Bachelor's degree
  • 8+ years experience in Data Quality, Issue Management, Data Governance, or Risk Management
  • Master's degree
  • Deep understanding of Issue Management lifecycle (identification, classification, remediation, closure, validation)
  • Strong knowledge of data quality risks and data/control frameworks
  • Experience with issue management platforms (IAT, OpenPages) and DQ tools (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 managing cross-functional teams and complex remediation initiatives
  • Strong communication skills to convey complex data/risk issues to senior stakeholders
  • Experience in training, mentoring, and driving adoption of best practices

Morgan Stanley Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Morgan Stanley and has not been reviewed or approved by Morgan Stanley.

  • Parental & Family Support Family support is extensive, with paid parental leave for all parents, adoption and fertility assistance, backup childcare, and eldercare resources. Feedback suggests these programs meaningfully enhance the overall package and help with retention.
  • Healthcare Strength Health coverage spans medical, dental, vision, mental‑health access, care navigation, and expert second opinions. Convenient primary care access and condition‑specific support reinforce the depth of healthcare coverage.
  • Equity Value & Accessibility Equity compensation and stock ownership are positioned as core motivators that encourage commitment and retention. Feedback suggests education and support are provided to help participants manage equity and related financial benefits.

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The Company
HQ: New York, NY
87,899 Employees

What We Do

Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide its more than 60,000 employees in 1,200 offices across 41 countries.

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