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 teams for integration of semantic technology
Define clear and actionable problem statements for teams
Utilize customer insights to influence priorities and drive alignment
Manage the Ontology and Data Modeling roadmap
Create reusable, extensible and resilient capabilities
Build relationships with senior stakeholders and communicate vision
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
Tech Stack
SQL
Benefits
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support total well-being