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 to support the development and integration of semantic technology
Guide the definition, design, and deployment of ontology-based data products
Define clear and actionable problem statements
Leverage customer insights to influence priorities
Own and prioritize the near-term Ontology and Data Modeling roadmap
Understand and leverage technology and end-state architecture vision
Deliver value by creating reusable, extensible and resilient capabilities
Develop and communicate a 6-month vision to senior stakeholders

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, GraphWise, Stardog, AnzoGraph, Neptune, or Data.World)
At least 4 years’ experience or training with SQL and SPARQL

Benefits

Health insurance
401(k) matching
Flexible working hours
Paid time off
Performance based incentive compensation

Applicant Tracking System Keywords

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

Hard Skills & Tools

ontologytaxonomysemanticscomputational linguisticsmetadataSQLSPARQLW3C standardslinked datacanonical data

Soft Skills

collaborationcommunicationproblem-solvingprioritizationinfluencingvision developmentstakeholder engagementroadmap ownershipvalue deliverycustomer insights