Lead Specialist - Risk Consulting reviewing risk consulting reports and validating insurance - related data. Engaging with stakeholders and providing finance support in a hybrid environment.
About the role
- Data Governance Context Specialist managing semantic models and knowledge graphs at Morgan Stanley. Improving data understanding and collaboration with business and technical partners in a hybrid work environment.
Responsibilities
- Partner with business subject matter experts to understand data domains and capture key concepts, relationships, and definitions.
- Design, maintain, and evolve ontologies, taxonomies, and semantic models aligned to real-world business processes.
- Build and manage knowledge graphs that standardize meaning across datasets and systems.
- Develop and maintain RDF-based representations and semantic relationships using established semantic web standards.
- Ensure semantic models remain consistent, extensible, and understandable as business needs evolve.
- Collaborate with data and platform teams to integrate semantic models into data platforms, while publishing and documenting reusable semantic artifacts and best practices
Requirements
- At least 6 years of professional experience with hands-on work in semantic modeling, knowledge graphs, or ontology development and a Bachelor’s degree or equivalent practical experience
- Practical experience designing and applying ontologies or semantic models in real-world data environments.
- Working knowledge of semantic web technologies (e.g., RDF, RDFS, OWL) and modeling complex data relationships.
- Experience with Knowledge Graph platforms and tooling (e.g., Neo4j) and modern graph-enabled AI approaches such as GraphRAG is a strong plus.
- Ability to translate business concepts into structured semantic representations.
- Familiarity with Python for data work, automation, or supporting semantic workflows and AI
- Strong communication skills, comfort collaborating with technical and non-technical partners
- Exposure to one or more of the following areas is a plus: Collibra or other AI/ML DQ solutions
- Data Stewardship, metadata management, data lineage, and master data management
- Business intelligence tools and automation platforms
Benefits
- Comprehensive employee benefits and perks
- Opportunities for professional development and career advancement
- Hybrid work environment combining remote work and office attendance
Job title
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Experience level
Salary
Not specified
Degree requirement
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Location requirements
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