Wealth Management Chief Data Office – Data Quality Standards & Continuous Improvement - Vice President

The Wealth Management (WM) Chief Data Office (CDO) sits within the WM Risk organization and strives to find the right balance between risk management and business enablement. WM CDO’s mission is to: prevent unauthorized access to or misuse of client sensitive data and assets; ensure the highest level of availability for WM’s critical business processes; and mitigate risks caused by inaccurate, untimely, or incomplete WM data.

Within CDO, the WM Divisional Data Office manages Data Quality related issues, prioritizes key processes with data quality dependencies, identifies Critical Data Elements (CDEs) underpinning prioritized processes, and applies controls to ensure CDEs meet data quality standards.  The Data Quality Office operates through three integrated pillars:  1) Execution & Technology Capabilities, 2) Standards & Continuous Improvement, 3) Monitoring & Maintenance—collectively enabling transparent, policy-compliant, and continuously improving data quality outcomes.

Responsibilities

The Vice President – Standards & Continuous Improvement role sits within the Standards & Continuous Improvement pillar of the WM Data Quality Office. This role is accountable for identifying and prioritizing the inventory of WM Data Quality deliverables, strengthening governance frameworks, driving policy compliance, enabling stakeholder engagement, tracking key performance indicators, and delivering continuous improvement across the data quality lifecycle. The role operates as a key interface across the first, second, and third lines of defense.

Specifically:

• Define, deliver, and maintain the WM Data Categorization and Prioritization methodology through the Inventory process 
• Establish and evolve the WM Data Quality Governance Framework, including procedures, standards, playbooks, and supporting documentation, ensuring alignment with firmwide data policies 
• Drive policy compliance across WM through active engagement with IT System Owners (ITSOs) and Business Data Deliverable Owners
• Provide ITSO and Deliverable Owner training and engagement to improve adoption of data quality standards and governance expectations
• Liaise with the Firmwide Data Office, Data Governance Office, Audit, and other control partners
• Assist with oversight of Project Cortex monitoring and reporting to provide transparency on data quality execution and risks
• Define, track, and report data deliverable KPIs, execution risk indicators, and governance metrics to senior stakeholders
• Drive operational efficiency initiatives focused on process improvement, resourcing optimization, workflow simplification, and stakeholder communications
• Embed continuous improvement disciplines across governance processes, incorporating lessons learned from monitoring, audit outcomes, and issue management
• Support innovation initiatives, including the application of AI and automation to governance, reporting, and continuous improvement activities

Skills Required:

• 5 – 10 years of experience in financial services and/or multi-national company
• Bachelor’s degree in Business Administration or related field
• Demonstrable experience in data governance, data quality management, or data risk within a large financial services organization 
• Strong understanding of data quality frameworks, governance controls, KPIs, and regulatory expectations 
• Experience translating firmwide data policies into divisional standards, procedures, and operating models
• Proven ability to engage effectively across first, second, and third lines of defense 
• Strong stakeholder management skills, including engagement with senior technology, audit, and business leaders 
• Analytical capability to interpret metrics, identify risk themes, and drive continuous improvement 
• Excellent written and verbal communication skills, with experience producing governance materials for senior audiences

Preferred Qualifications:

• Experience with data catalog system (e.g. Collibra)
• Experience supporting internal or regulatory audits related to data governance or data quality
• Familiarity with data lineage, metadata management, and data quality tooling 
• Exposure to enterprise data transformation or integration initiatives
• Experience leveraging automation or AI to enhance governance, reporting, or control processes

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 $110,000 and $190,000 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.