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

M.C.
Bronx; New York, US
On-site

Why this role

Pace
Steady
Collaboration
High
Autonomy
Medium
Decision Impact
Company
Role Level
Team Lead

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • establish-data-quality-governance-framework
  • drive-policy-compliance
  • track-and-report-data-deliverable-kpis
Typical background
data-quality-managementrisk-managementfinancial-services

Transferable backgrounds

  • Coming from data-quality-analyst
  • Coming from risk-manager

Skills & requirements

Required

Data-quality-managementData-governancePolicy-complianceStakeholder-engagementContinuous-improvement

Preferred

Data-quality-frameworksRegulatory-compliance

Stack & domain

Data GovernanceData Quality ManagementData RiskData Quality FrameworksData Quality StandardsData Quality Governance ControlsData Quality KpisData Quality Regulatory ExpectationsData Quality Policy TranslationData Quality Stakeholder ManagementData Quality Analytical CapabilityData Quality Communication SkillsStakeholder ManagementCommunication SkillsFinance

About the role

Original posting from M.C.

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

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.

Source: M.C. careers

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