Description

Define and govern enterprise ontology frameworks, semantic models, and data standards to ensure cross-domain consistency and interoperability.

This role is on-site.

Responsibilities

• Define and govern the enterprise ontology framework, including standards, lifecycle, and modeling principles.
• Establish and enforce semantic modeling guidelines using RDF, OWL, SHACL, and JSON-LD.
• Translate business concepts into formal, machine-readable semantic models and maintain alignment across systems.
• Collaborate with the Data Catalog function to align business glossary definitions with formal ontology models.
• Design and maintain semantic interoperability between AAS sub-models, engineering data, and operational information systems.

Required Skills

• 4 to 9 years of relevant experience in data governance or modeling.
• Strong knowledge of Data Modelling and Ontology.
• Hands-on experience with Semantic AI and knowledge graphs.
• Proficiency in RDF, OWL, SHACL, and JSON-LD.
• Experience in defining and maintaining data standards and models.
• Understanding of Data Catalog and Business Glossary.
• Ability to map business concepts into structured, machine-readable models.
• Good understanding of data integration and semantic interoperability.

Preferred Skills

• Experience as a Data Analyst.
• Knowledge of AAS sub-models and engineering/operational data.

Key Skills

Education

Any Graduate