About the job
Join the Data & AI practice as a Semantic Modeler, where you will define and lead the development of the enterprise semantic layer that enables consistent meaning, interoperability, and intelligence across data products and platforms. This role is crucial in shaping how the organization defines, connects, and leverages knowledge to deliver scalable, reusable, and insight-driven data products. The team values collaboration and innovation, working closely with business SMEs, architects, data engineers, and AI teams to create impactful solutions.
You'll be responsible for
📊
Leading the definition and design of enterprise business ontologies
Lead the definition, design, and governance of enterprise business ontologies, ensuring consistent meaning, terminology, and relationships across domains and data products.📈
Designing semantic models and knowledge graphs
Design and oversee semantic models and knowledge graphs, including ontology structures, taxonomies, canonical models, and graph schemas using RDF/OWL, SHACL, SPARQL, and property graph patterns.🛠️
Establishing semantic modelling standards
Establish and maintain semantic modelling standards (naming conventions, versioning, curation workflows, semantic mappings) and drive adoption across teams.Key criteria
📊
8+ years in data modeling or architecture
Extensive experience in data modeling and architecture is essential.View
🧠
Business ontology and knowledge graph expertise
Proven ability to define and design business ontologies.View
🔗
Semantic technologies proficiency
Experience with RDF/OWL, SHACL, and SPARQL is crucial.View
View more
