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

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

Data Governance Context Specialist

Key skills