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Capital One Manager Ontology Data Modeling 
United States, Virginia, Arlington 
846591719

04.09.2025
Manager, Ontology and Data Modeling


Primary Responsibilities

  • Partnering with Enterprise governance and tooling teams to develop and implement standards for ontologies to support data consumers

  • Partnering with Data Product Managers, data modelers, and other ontologists to understand use cases and pain points for data discovery and consumption

  • Partnering with Data Product teams to align on shared vocabularies within and across data domains, and design modeling solutions that meet consumer needs and requirements

  • Maintaining a scalable ontology that seamlessly integrates vocabularies across domains (Account, Customer, etc), types of data (structured, unstructured), and levels of granularity (up and down the ontology’s hierarchy)

Role-Based Competencies

  • Modeling and implementing taxonomies/ontologies that solve pain points for data consumers trying to find, understand, or use data

  • Able to partner across business, technical, and data science teams to implement standardized vocabularies, metadata, and relationships (aka taxonomies/ontologies) in data consumption experiences

  • Able to autonomously structure solutions to complex problems and develop modeling frameworks in collaboration with the broader Capital One Ontologist community

  • Able to make balanced decisions in modeling design and implementation, such as balancing standardization, scalability, and convergence with user-specific needs for customization and ease of use

  • Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives.

  • Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment.

Basic Qualifications

  • 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

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

  • Familiarity with JSON, OpenAPI/YAML, AVRO

  • Familiarity with Agile principles, processes, and methodologies

  • Strong project management experience

Cambridge, MA: $158,400 - $180,800 for Manager, Ontology and Data Modeling McLean, VA: $158,400 - $180,800 for Manager, Ontology and Data Modeling New York, NY: $172,800 - $197,200 for Manager, Ontology and Data ModelingThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.