Manager, Ontology & Data Modeling

What you'll do

• Develop, implement, and maintain enterprise ontologies to support the corporate data strategy.
• Define clear problem statements and actionable requirements to help teams deliver data modeling results.
• Own and prioritize the near-term ontology and data modeling roadmap to achieve business outcomes.
• Integrate semantic technology into products and services in partnership with Technology and Machine Learning teams.
• Create reusable, extensible, and resilient capabilities while identifying opportunities to improve key performance metrics.
• Develop standards, guidelines, and direction for ontology, data modeling, and data standardization.
• Manage teams responsible for developing, implementing, and governing ontologies and optimized data models.
• Contribute to data integration and mapping efforts to harmonize data with upper and domain ontologies.

What we're looking for

• Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics, or computational linguistics.
• At least 4 years’ experience in a metadata field of work including ontology, taxonomy, semantics, or computational linguistics.
• At least 4 years’ experience or training in using W3C standards including linked and canonical data and ontologies (JSON, XML, RDF, RDFS, OWL, and SKOS).
• At least 4 years’ experience or training in ontology and linked data tools such as Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World.
• At least 4 years’ experience or training with SQL or SPARQL.
• Master’s degree or PhD in information science, computer science, engineering, library science, ontology, semantics, or computational linguistics (preferred).
• Familiarity with graph databases, Python, R, JSON, OpenAPI/YAML, AVRO, and Agile principles (preferred).
• Strong project management and communication skills to present ideas clearly and with confidence (preferred).