Ontology and Data Modeling Manager
1 month ago
Capital One is seeking a highly skilled Ontology and Data Modeling Manager to join our team. As a key member of our Enterprise Products and Platforms group, you will be responsible for developing, implementing, and maintaining enterprise ontologies in support of our Data Strategy.
The ideal candidate will have a strong background in ontology and data modeling, with experience in developing and implementing ontologies and data models in consultation with stakeholders. You will work collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives.
The successful candidate will have a deep understanding of W3C standards, including RDF, RDFS, OWL, SKOS, and SHACL, and experience with ontology and linked data tools such as Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World. You will also have experience with SQL or SPARQL and be able to communicate and advocate the value of using industry standards, applications, and open source data sets.
Key Responsibilities:
- Develop and implement ontologies and data models in consultation with stakeholders
- Work collaboratively across Capital One Lines of Business and Functions to develop domain ontologies
- Develop and communicate a 6-month vision to senior stakeholders and partner teams
- Contribute to team culture and recruiting by leading activities to attract and retain top talent
- Manage teams that develop, implement, and govern ontologies and optimized data models
Requirements:
- 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 (ontology, taxonomy, semantics, or computational linguistics)
- At least 4 years' experience or training in using W3C standards, including linked and canonical data and ontologies
- At least 4 years' experience or training in ontology and linked data tools
Preferred Qualifications:
- Master's degree or PhD in information science, computer science, engineering, library science, ontology, semantics, or computational linguistics
- Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data
- Familiarity with graph databases and technologies
- Familiarity with Python or R
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