Capital One

Manager, Ontology and Data Modeling

Capital One

full-time

Posted on:

Location Type: Office

Location: McLean • Massachusetts, New York, Virginia • 🇺🇸 United States

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Salary

💰 $158,400 - $197,200 per year

Job Level

Mid-LevelSenior

Tech Stack

PythonSQL

About the role

  • 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 into Capital One data products and services
  • support an emerging and evolving semantic program
  • clearly communicate and advocate the value of using semantic technology and knowledge organization concepts
  • partner with Enterprise governance and tooling teams to develop and implement standards for ontologies
  • partner with Data Product Managers, data modelers, and other ontologists to understand use cases and pain points
  • maintain a scalable ontology that integrates vocabularies across domains

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 (such as 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
  • Master’s degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics (preferred)
  • 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
  • Familiarity with JSON, OpenAPI/YAML, AVRO
  • Familiarity with Agile principles, processes, and methodologies
  • Strong project management experience
Benefits
  • 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.

Hard skills
ontologytaxonomysemanticscomputational linguisticsW3C standardslinked dataJSONXMLRDFSPARQL
Soft skills
collaborationcommunicationadvocacyproject management
Certifications
Bachelor’s degreeMaster’s degreePhD
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