Data Governance & Quality Lead

Morgan Stanley•New York, NY

1d•$160,000 - $221,500

About The Position

We’re seeking an experienced people manager to join our team as a Data Governance & Quality Lead, to lead the global function that sets the standards, ownership model, and controls, that ensure Human Resource data is trusted, well-managed, and fit for decisions that impact the firm at scale. In the Human Resources division, we help the firm support and develop its workforce through people insight, effective service delivery and practical tools that make it easier for employees and managers to get what they need. This role sits within HR Data & Intelligence, that helps the firm make better workforce decisions by turning data into trusted insight. The team delivers core data, reporting, and AI infrastructure that supports people operations and enables self-service access to workforce insights across HR and Morgan Stanley businesses. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

Requirements

At least 8 years’ relevant experience would generally be expected to find the skills required for this role
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 the 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 both 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—ownership, sourcing expectations, cataloging, lineage, and control practices that ensure HR data is well-governed and aligned with the firm’s data quality framework
Deliver prioritized data quality initiatives the HR Department has committed to in its Data Governance roadmap
Partner with HR product, analytics, engineering, and firmwide risk/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
Will be responsible for leveraging AI tools to enhance HR's Data Quality Program