Key Responsibilities Design, develop, and maintain enterprise taxonomies, controlled vocabularies, and ontologies. Collaborate with business teams to understand domain knowledge and translate it into semantic models. Configure and manage taxonomy and ontology assets within the OneSpace platform. Define metadata standards and governance guidelines. Support content classification, tagging, and information architecture initiatives. Ensure consistency, quality, and scalability of taxonomy and ontology models. Participate in ontology reviews, governance discussions, and continuous improvements. Work closely with AI, Search, Knowledge Management, and Content Management teams to enable intelligent content discovery. Document standards, best practices, and implementation guidelines.

Who Should Apply We encourage applications from colleagues who: Have a foundational understanding of taxonomy, metadata, or ontology concepts. Enjoy organizing complex information into meaningful structures. Are passionate about AI, knowledge management, semantic technologies, or enterprise search.



Are willing to learn from experienced practitioners and build deep expertise in this evolving field. Want to become future subject matter experts in enterprise semantic technologies.

Requirements Desired Skills Basic understanding of taxonomy, ontology, metadata, or knowledge organization concepts. Familiarity with enterprise content management or knowledge management platforms is an advantage. Understanding of information architecture principles. Exposure to semantic technologies such as RDF, OWL, SKOS, or knowledge graphs is desirable but not mandatory. Valuable analytical and problem-solving skills. Strong communication and stakeholder collaboration abilities. Curiosity to learn emerging AI, semantic web, and knowledge engineering concepts.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to

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