Senior Ontology Specialist / Knowledge Engineer

Job Description: The Wolters Kluwer Digital Experience Group creates products and solutions with Wolters Kluwer businesses around the globe to serve professionals in the Legal, Tax, Heath, ESG, Finance and Compliance sectors. This wide and growing array of solutions supports Wolters Kluwer businesses in building and expanding their online product portfolios. The Digital Experience Group (DXG) provides global leverage of industry and customer insight, driving technology capabilities for local product development. Do you want to use your skills and experience to make a meaningful impact to provide expert solutions in a diverse set of professional domains: healthcare, compliance, legal and regulatory and tax and accounting? Wolters Kluwer is a fast-growing and innovation-driven global company that has successfully made a transition from print publishing to a digitally-driven provider of professional software, online expert content and integrated workflow products. A unique combination of experts, content and data provide the ingredients to create expert solutions based on advanced technologies especially cognitive technologies. Collaborating with product visionaries and experts in healthcare, compliance, legal and tax you will guide advanced solutions that tackle some of the most challenging problems our customers face. We're looking for an Ontology Specialist / Knowledge Engineer who is passionate about delivering the next generation of digital products. You are willing to work with subject matter experts, product leaders, customers and developers to create knowledge organization systems (e.g. vocabularies, taxonomies, etc.) that guides the user experience. Reporting to the Ontology/Knowledge Engineering Manager, this role is part of a centralized function within the Digital Experience Group (DXG) a team supporting a suite of Content Technology tools and services used by the product and content teams in each division. 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:

• Bachelor's 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 

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.