We're seeking someone to join our CDRR team as a Data Taxonomy Management Specialist, in Technology Risk. Candidate with strong experience in defining, curating, and governing enterprise data taxonomies to enable consistent understanding, classification, and governance of data across the Firm. The role ensures that business terms are structured into coherent domains, concepts, and elements, aligned with policy requirements and embedded within approved data governance tooling. By maintaining a high‑quality taxonomy, the role will support effective data ownership, quality management, lineage, regulatory compliance, and cross‑functional interoperability. The ideal candidate brings expertise in Data Governance, including Business Glossaries and Taxonomy hierarchy. This role requires strong ownership, problem‑solving skills, and the ability to thrive in a fast‑paced environment.

About Super Department

CDRR mission is to deliver first-line defences to manage Cyber and Fraud risks to Morgan Stanley's technology, operations and information through risk identification, control management and assurance. This allows the business to operate and grow in a secure and legally compliant manner. The team's vision is to deliver programs that protect and enable the business, ensure secure delivery of services to clients, adjust to address the risks presented by an evolving threat landscape and meet regulatory expectations.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Data Modeller position at Vice President Level, which is part of the job family responsible for developing and maintains tooling solutions that support business needs.

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.

What You'll Do In The Role

Design, maintain, and evolve the Firm's data taxonomy, ensuring clear hierarchical structuring of data domains, concepts, and governed terms.
Ensure alignment between the data taxonomy, business glossaries, and system dictionaries to promote consistent semantics and reduce duplication and ambiguity across the organisation.
Govern the lifecycle of taxonomy terms, including creation, refinement, deprecation, and change impact assessment, in accordance with approved governance standards and forums.
Embed regulatory and policy expectations (e.g. data quality and risk governance requirements) into the taxonomy structure to support monitoring, reporting, and compliance outcomes.
Provide guidance on correct taxonomy usage and support adoption across business and technology initiatives, including reporting, risk, and regulatory change programmes.
Contribute to enterprise initiatives requiring semantic consistency, including lineage, control frameworks, analytics, and AI‑enabled use cases.
Monitor taxonomy health and usage, identifying gaps, inconsistencies, and remediation opportunities, and driving continuous improvement.

What You'll Bring To The Role

Strong experience in data governance, data management, or metadata management within a complex enterprise environment.
Deep understanding of data taxonomy principles, hierarchical classification, and semantic modeling.
Familiarity with data quality, lineage, and regulatory frameworks (e.g. BCBS 239 or equivalent supervisory expectations).
Experience working with firm‑approved data governance or cataloguing tools.
Ability to translate business concepts into structured, governable terminology that can be operationalised across systems and processes.
Strong stakeholder engagement skills, with the ability to influence across business, technology, and control functions.
High attention to detail, with a focus on consistency, clarity, and reusability.

Preferred Skills

Prior experience in financial services, risk, cyber, fraud, or regulatory domains with complex data landscapes
Experience with Collibra asset model
Understanding of data explainability, model transparency, and lineage requirements for AI-enabled decisioning
Ability to define standards and patterns for taxonomy adoption across analytics, data platforms, and AI/ML use cases
Exposure to regulatory change management, including impact analysis of new or evolving regulations on data definitions and classifications
Capability to define KPIs and hygiene metrics to track taxonomy quality, coverage, and usage over time
Familiarity with control frameworks, issues management, or audit interactions where data definitions and classifications are reviewed

What You Can Expect From Morgan Stanley

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that's differentiated – and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

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.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

Data Taxonomy Management Specialist - Vice President - Data & Analytics Engineering