Global HR Data Governance & Quality Lead

Morgan Stanley; New York (NY); On-site; USD 160,000 - 222,000; Full time

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