Design, validate, implement, and manage the knowledge graph and ontology structure within Dun & Bradstreet
Apply the ontology hands-on in the development of new data supply chains
Guide the development of the future data architecture, balancing long-term vision with short-term wins
Collaborate in cross-functional teams and project-based environments to ensure effective and sustainable ontology development
Ensure data architecture meets compliance requirements for global and local markets
Integrate mature data governance processes in line with overall data governance strategy
Communicate and educate internal stakeholders about the purpose and value of the ontology and incorporate feedback
Work with business stakeholders, tech- and information specialists to deliver knowledge-based solutions and implement a high-tech data management system
Requirements
Degree in Library Science, Information Systems, Linguistics, other relevant fields, or equivalent work experience
3+ years of experience in a similar role working with ontology and/or taxonomy roles or with large quantities of data (e.g., data scientist, information architect, data analyst)
Experience and expertise in modeling of data/information
Ability to dive into very different topics and abstract from the details to identify patterns
Proven track record of strong communication and interpersonal skills
Proficient English language skills
Experience of working with requirements engineering of data (preferred)
Experience of Data Governance (preferred)
Familiarity with Semantic Web technologies (RDF/s, OWL, SKOS), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN) (preferred)