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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Governance & Quality Lead - **Company:** Morgan Stanley - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Governance, Data Integrity, Data Streaming, Data Management, Data Pipelines - **Published:** September 16, 2026 - **Apply:** https://www.themuse.com/jobs/morganstanley/data-governance-quality-lead ## About the Role 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 ## Description 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., 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, Certified Persons Regulatory Requirements: If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible work statement Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. ## Related Videos - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Exploring 5 Key Applications of AI Abundance with Blockchain Assurance](https://www.wearedevelopers.com/videos/971-exploring-5-key-applications-of-ai-abundance-with-blockchain-assurance) - [Beyond Gut Feelings: The Rise of Data-Driven HR](https://www.wearedevelopers.com/videos/1326-beyond-gut-feelings-the-rise-of-data-driven-hr) - [Startup Presentation: StorX - Future of Cloud Storage](https://www.wearedevelopers.com/videos/1176-startup-presentation-storx-future-of-cloud-storage) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)