Ontology Architect
Dun & Bradstreet
Job Level
Mid-LevelSenior
About the role
- Designing, validating, implementing, and managing the knowledge graph and ontology structure within Dun & Bradstreet
- Applying the ontology hands-on in the development of new data supply chains
- Guiding the development of our future data architecture—balancing long-term vision with short-term wins
- Collaborating in cross-functional teams and project-based environments to ensure effective and sustainable ontology development
- Ensuring our data architecture meets compliance requirements for both Dun & Bradstreet and local markets
- Integrating mature data governance processes in line with our overall data governance strategy
- Communicating and educating internal stakeholders about the purpose and value of the ontology, while actively gathering and incorporating feedback from across the organization
- Working independently and with European teams to implement a high-tech data management system and knowledge graph
Requirements
- Degree in Library Science, Information Systems, Linguistics, other relevant fields, or equivalent work experience
- 3+ years of experience in a similar role where you worked with ontology and/or taxonomy roles, large quantities of data/information such as data scientist, information architect or 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
- Ability to quickly understand complex processes and communicate them in simple language
- 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)
- Knowledge of open-source and/or commercial ontology engineering editors (e.g. Protege) (preferred)
- Master’s degree in Library Science, Information Systems, Linguistics or other relevant fields (preferred)
