Develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy
Work collaboratively across Capital One Lines of Business and Functions to develop domain ontologies
Partner with Technology, Machine Learning, and other Capital One teams
Define clear and actionable problem statements
Leverage customer insights to influence priorities and roadmap development
Own and prioritize the near-term Ontology and Data Modeling roadmap
Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization

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 (JSON, XML, RDF, RDFS, OWL, and SKOS)
At least 4 years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)
At least 4 years’ experience or training with SQL or SPARQL

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

ontologytaxonomysemanticscomputational linguisticsmetadataW3C standardslinked datacanonical dataSQLSPARQL

collaborationcommunicationadvocacyproblem-solvingprioritization