Data Taxonomy Management Specialist - Vice President - Data & Analytics Engineering
Morgan Stanley · Bengaluru, Karnataka, India
- On site
- Full-time
- $250,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Define and govern enterprise data taxonomies.
- Ensure consistent data understanding and classification.
- Align data taxonomy with business glossaries.
- Support regulatory compliance and data ownership.
- Lead data modeling for business needs.
About the role
Data Taxonomy Management Specialist VP
Morgan Stanley is seeking a Data Taxonomy Management Specialist, Vice President, 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.
About the Role
The Data Taxonomy Management Specialist will structure business terms into coherent domains, concepts, and elements, aligning with policy requirements and utilizing approved data governance tooling. By maintaining a high-quality taxonomy, this role 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 for Cyber and Fraud risks at Morgan Stanley, focusing on risk identification, control management, and assurance. The team's vision is to deliver programs that protect and enable the business, ensure secure service delivery, adapt to evolving threats, and meet regulatory expectations. Within the Technology division, we leverage innovation to build essential connections and capabilities, empowering clients and colleagues to redefine markets and shape the future.
This is a Lead Data Modeller position at the Vice President Level, part of a job family responsible for developing and maintaining tooling solutions that support business needs.
Since 1935, Morgan Stanley has been a global leader in financial services, consistently evolving and innovating to serve clients and communities worldwide.
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) into the taxonomy structure to support monitoring, reporting, and compliance.
- Provide guidance on correct taxonomy usage and support adoption across business and technology initiatives.
- 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 in 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).
- Experience working with firm-approved data governance or cataloging tools.
- Ability to translate business concepts into structured, governable terminology.
- 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.
- Capability to define KPIs and hygiene metrics for taxonomy quality, coverage, and usage.
- Familiarity with control frameworks, issues management, or audit interactions.
What You Can Expect From Morgan Stanley
Morgan Stanley is a global leader in financial services, dedicated to helping clients achieve their goals. We operate with core values: putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back. Our 80,000+ employees across 1,200 offices in 42 countries are supported by comprehensive benefits and perks, with ample opportunities for career growth.
Key skills/competency
- Data Governance
- Data Taxonomy
- Metadata Management
- Semantic Modeling
- Business Glossary
- Regulatory Compliance
- Stakeholder Engagement
- Collibra
- Risk Management
- Data Quality
Skills & topics
- Data Governance
- Data Taxonomy
- Metadata Management
- Semantic Modeling
- Business Glossary
- Regulatory Compliance
- Financial Services
- Risk Management
- VP Level
- Data Modeling
How to get hired
- Tailor your resume: Highlight data governance, taxonomy, and metadata management experience. Emphasize your VP-level contributions and influence.
- Showcase expertise: Detail your understanding of semantic modeling and regulatory frameworks relevant to financial services.
- Demonstrate stakeholder skills: Provide examples of influencing cross-functional teams and translating business concepts into technical terms.
- Prepare for technical questions: Be ready to discuss your experience with data governance tools and taxonomy lifecycle management.
- Research Morgan Stanley: Understand their values, technology focus, and commitment to risk management.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary responsibility of a Data Taxonomy Management Specialist at Morgan Stanley?
- The primary responsibility is to define, curate, and govern the firm's enterprise data taxonomy, ensuring consistent understanding, classification, and governance of data across Morgan Stanley. This includes structuring business terms into domains and concepts aligned with policies and tooling.
- What level of experience is required for the Data Taxonomy Management Specialist VP role at Morgan Stanley?
- The role requires strong experience in data governance, data management, or metadata management within a complex enterprise environment. Specifically, deep understanding of data taxonomy principles, hierarchical classification, and semantic modeling is essential. It is a Vice President level position.
- How does this role contribute to Morgan Stanley's risk management efforts?
- This role directly supports risk management by ensuring consistent data classification and governance, which is crucial for effective data ownership, quality management, lineage tracking, and regulatory compliance. The CDRR team focuses on Cyber and Fraud risks, and a robust data taxonomy is a foundational element for managing these.
- What data governance or cataloging tools has Morgan Stanley approved for this role?
- While the job description mentions experience with 'firm-approved data governance or cataloging tools', specific tools like Collibra are listed as preferred skills. Candidates should be prepared to discuss their experience with similar enterprise-grade data governance platforms.
- What are the key preferred skills for a Data Taxonomy Management Specialist at Morgan Stanley?
- Preferred skills include prior experience in financial services, risk, cyber, or fraud domains, familiarity with the Collibra asset model, understanding of data explainability and lineage for AI, and the ability to define KPIs for taxonomy quality and usage.
- How will Morgan Stanley support career growth for a Data Taxonomy Management Specialist?
- Morgan Stanley emphasizes opportunities for employees to move within the business for those who demonstrate passion and grit. The company supports career development through collaboration, diverse experiences, and a culture that empowers employees, alongside comprehensive benefits.
- What is the expected impact of the Data Taxonomy Management Specialist's work on AI initiatives at Morgan Stanley?