Data Taxonomy Management Specialist

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

Morgan Stanley is seeking a Data Taxonomy Management Specialist to join our CDRR team within Technology Risk. This role is crucial for defining, curating, and governing enterprise data taxonomies to ensure consistent understanding, classification, and governance of data across the Firm. The specialist will structure business terms into coherent domains, concepts, and elements, aligning with policy requirements and utilizing approved data governance tooling. A high-quality taxonomy supports effective data ownership, quality management, lineage, regulatory compliance, and cross-functional interoperability. The ideal candidate possesses expertise in Data Governance, including Business Glossaries and Taxonomy hierarchy, with strong ownership, problem-solving skills, and the ability to thrive in a fast-paced environment.

About Super Department

The CDRR mission is to provide first-line defenses against Cyber and Fraud risks to Morgan Stanley’s technology, operations, and information. This is achieved through risk identification, control management, and assurance, enabling the business to operate and grow securely and compliantly. The team's vision is to deliver programs that protect and enable the business, ensure secure service delivery to clients, adapt to evolving threats, and meet regulatory expectations.

Within the Technology division, we leverage innovation to build essential connections and capabilities, empowering our clients and colleagues to redefine markets and shape the future. This is a Lead Data Modeller position at the Vice President level, part of the job family responsible for developing and maintaining tooling solutions to support business needs.

Morgan Stanley, a global leader in financial services since 1935, continuously evolves and innovates to better serve clients and communities in over 40 countries.

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.
• Govern the lifecycle of taxonomy terms, including creation, refinement, deprecation, and change impact assessment, in accordance with approved governance standards.
• 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 programs.
• 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 cataloging tools.
• Ability to translate business concepts into structured, governable terminology that can be operationalized.
• 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.
• 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 regulations.
• Capability to define KPIs and hygiene metrics to track taxonomy quality, coverage, and usage.
• Familiarity with control frameworks, issues management, or audit interactions.

What You Can Expect From Morgan Stanley

At Morgan Stanley, we help clients raise, manage, and allocate capital, achieving their goals for over 90 years. Our differentiated approach is guided by our values: putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back. These values shape our daily decisions to benefit our clients, communities, and over 80,000 employees across 1,200 offices in 42 countries.

You'll work alongside top talent in a supportive and empowering environment. Our teams are collaborative, creative, and driven by diverse backgrounds and experiences. We offer comprehensive employee benefits and perks, along with ample opportunities for career growth for those with passion and grit.

Learn more about our global offices: https://www.morganstanley.com/about-us/global-offices

Morgan Stanley is an equal opportunity employer committed to a diverse and inclusive workforce. We hire, develop, and advance individuals based on their skills and talents.

Our workforce reflects global communities, bringing diverse backgrounds, talents, perspectives, and experiences. For more information, visit: https://www.morganstanley.com/people-opportunities/eeo.

Key skills/competency

• Data Governance
• Data Taxonomy
• Metadata Management
• Business Glossary
• Semantic Modeling
• Data Quality
• Regulatory Compliance
• Collibra
• Stakeholder Engagement
• Risk Management