Global HR Data Governance & Quality Lead

Morgan Stanley

New York (NY)

On-site

USD 160,000 - 222,000

Full time

4 days ago
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Job summary

Morgan Stanley is seeking an experienced Data Governance & Quality Lead to steward the global HR data governance framework, ownership models, and controls. You will lead a high-performing team across regions, shaping the data quality program and integrating AI-enabled tools across HR workflows.

The role emphasizes cross-functional partnership with HR product, analytics, and risk teams, delivering reliable metrics and transparent documentation that improves data trust and decision-making in a

Qualifications

  • 8+ years of relevant experience in governance or data management.
  • Experience in global, multi-system environments.
  • Ability to build and lead high-performing teams.
  • Ability to translate data policies into practical guidance.
  • Proven cross-functional collaboration across regions.

Responsibilities

  • Build and develop a high performing, globally coordinated team that drives governance practices and continuous improvement.
  • Establish and maintain data governance foundations—ownership, sourcing, cataloging, lineage, and controls.
  • Deliver prioritized data quality initiatives in the HR Data Governance roadmap.
  • Partner with HR product, analytics, engineering, and risk/control teams to align on standards and embed requirements.
  • Define and oversee controls and monitoring that produce reliable metrics and surface data quality risks.
  • Ensure governance outputs translate into clear, consumer-oriented documentation and metadata.

Skills

Data governance
Data quality
Data management
Leadership
AI tools

Tools

AI tools

Job description

Morgan Stanley is seeking an experienced Data Governance & Quality Lead to steward the global HR data governance framework, ownership models, and controls. You will lead a high-performing team across regions, shaping the data quality program and integrating AI-enabled tools across HR workflows.

The role emphasizes cross-functional partnership with HR product, analytics, and risk teams, delivering reliable metrics and transparent documentation that improves data trust and decision-making in a

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