Dun & Bradstreet

Ontology Architect

Dun & Bradstreet

full-time

Posted on:

Origin:  • 🇫🇮 Finland

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Job Level

Mid-LevelSenior

About the role

  • 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)
  • 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)
  • Passionate, detail-oriented, analytical mindset; able to work independently and collaboratively; strategic thinker with practical execution
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