Responsibilities:
Support the design and implementation of ontology-driven knowledge frameworks to support AI, search, and content retrieval systems.
Develop and maintain taxonomies, knowledge graphs, ontologies, and metadata models , ensuring scalability and alignment with business goals.
Ensure adherence to data governance, compliance, and privacy standards , particularly in the use of AI-driven systems.
Establish and maintain best practices for ontology versioning, data integration, and knowledge updates , leveraging FAIR and the corporate ontology principles
Work closely with teams across Wolters Kluwer to develop data models, focusing on conceptual, logical, and physical models for knowledge representation.
Communicate effectively with collaborators from a variety of domain expertise and technical experience; able to clearly describe ontologies, models, and knowledge frameworks, as well ask about requirements, the job to be done, and other clarifying questions
Monitor trends in knowledge engineering that can apply to current / future solutions
Experience:
Bachelors degree in computer science, library science, linguistic or related experience
Has 1+ years experience developing or using knowledge organization systems; such controlled vocabularies, taxonomies
Has 1+ years experience developing or using knowledge models based on W3C standards (RDF, OWL, SKOS, etc.)
Has 1+ years experience integrating ontologies; such as Dublin Core, FRBR, FOAF, etc.
Has 1+ years experience integrating linked data sets in application
Strong written and oral communication and presentation skills
Abstract thinker with the ability to conceptualize or generalize, and apply the corporate knowledge model to solve business problems in different domains
Experience in adoption of knowledge models to the legal, accounting or health domains is desirable

Senior Ontology Specialist / Knowledge Engineer

Job Description

Required Skills