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Morgan Stanley

Manages investments and advises on financing

Data Governance & Quality Lead

Data ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$160k - $221.5k /yrIn-person

About the Job

Requirements

  • At least 8 years of relevant experience is generally expected.
  • Applied exposure to data governance, data quality, data management, or adjacent domains in a complex, multi-system environment, ideally with global reach.
  • Ability to shape teams and functions by setting clear expectations and building capabilities that support execution and continuous improvement.
  • Ability to build transparency around complex processes and activities to demonstrate the value the HR Data Governance team brings to the department.
  • Track record designing and operationalizing frameworks that scale across systems and regions.
  • Skill in translating data policies, technical concepts, and control requirements into clear, practical guidance for technical and non-technical audiences.
  • Demonstrated success building alignment across organizational and geographic boundaries.
  • Understanding of how HR data flows through core systems and processes, and how governance and controls influence data quality at each stage.

Responsibilities

  • Build and develop a high-performing, globally coordinated team that drives disciplined governance practices, scalable processes, and continuous improvement.
  • Establish and maintain data governance foundations, including ownership, sourcing expectations, cataloging, lineage, and control practices, ensuring HR data is well-governed and aligned with the firm's data quality framework.
  • Deliver prioritized data quality initiatives that the HR Department has committed to in its Data Governance roadmap.
  • Partner with HR product, analytics, engineering, and firmwide risk and control teams to align on standards and embed requirements into system design, data pipelines, reporting, and AI-supported tools.
  • Define and oversee controls and monitoring that produce reliable metrics, surface data quality risks, and support accountable, timely escalation and remediation.
  • Ensure governance outputs translate into clear, consumer-oriented documentation and metadata that increase transparency into HR's data lifecycle.
  • Shape the strategic roadmap for HR's data governance and quality function, prioritizing capabilities, controls, and process improvements that strengthen data reliability over time.
  • Leverage AI tools to enhance HR's Data Quality Program.

About the Company

Morgan Stanley

Manages investments and advises on financing

Morgan Stanley advises companies and governments on financing and manages investments for institutions, individuals, and families. Its business combines investment banking and securities trading with wealth management and an asset-management division that invests across public and private markets. Bankers arrange stock and bond sales and advise on mergers, while advisors build client portfolios and fund managers invest money under agreed strategies. The firm earns advisory and management fees, trading revenue, commissions, and interest from lending and deposits. Morgan Stanley was founded as a partnership in 1935 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1935

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