Not specified; not specified; comprehensive employ...
Hybrid
Semantic modeling experience
Ontology design skills
Knowledge graph development
This role focuses on designing, evolving, and operationalizing semantic models and knowledge graphs to enhance data understanding and reuse across Morgan Stanley
Job Summary
This role focuses on designing, evolving, and operationalizing semantic models and knowledge graphs to enhance data understanding and reuse across Morgan Stanley.
The position requires collaborating with subject matter experts to translate real-world business concepts into structured semantic models that support analytics and AI use cases.
Morgan Stanley offers a hybrid work environment in Montreal with comprehensive benefits and opportunities to work alongside top talent in a global financial services leader.
Matching Summary
This role focuses on designing, evolving, and operationalizing semantic models and knowledge graphs to enhance data understanding and reuse across Morgan Stanley.
Salary
Not specified; Not specified; Comprehensive employee benefits and perks mentioned
Skills & Requirements
Must-have
Semantic modeling experience
Ontology design skills
Knowledge graph development
RDF RDFS OWL standards
Business concept translation
Nice-to-have
GraphRAG AI approaches
Python for data workflows
Collibra platform exposure
Data stewardship familiarity
Strong communication skills
Key Requirements
6 years professional experience in semantic modeling
Bachelor's degree or equivalent practical experience