Principal Associate - Ontology and Data Governance

$134,100 - $153,000/Yr

Capital One - West McLean, VA

Full-time - Principal

West McLean, VA

Credit Intermediation and Related Activities

About the position

The Principal Associate of Ontology and Data Modeling at Capital One is responsible for developing, implementing, and maintaining enterprise ontologies to support the company's Data Strategy. This role involves collaboration across various lines of business and functions to create domain ontologies that align with enterprise initiatives. The Principal Associate will work closely with technology and machine learning teams to integrate semantic technology into Capital One's products and services, advocating for the value of semantic technology and knowledge organization concepts.

Responsibilities

• Develop, implement and govern ontologies and optimized data models in consultation with stakeholders.
• Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies.
• Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business.
• Partner with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services.
• Analyze and implement knowledge organization strategies using tools capable of machine learning, ontology management, and semantic enrichment.
• Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning.
• Understand and adhere to W3C standards related to ontologies, including RDF, RDFS, OWL, SKOS, and SHACL.
• Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One.
• Test/troubleshoot new or updated models and systems.
• Manage and oversee other projects as assigned by Product Owners and Supervisors.

Requirements

• Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics.
• At least 3 years' experience in a metadata field of work or a master's degree in a related field.
• At least 3 years' experience or training in using W3C standards including linked and canonical data and ontologies (JSON, XML, RDF, RDFS, OWL, and SKOS).
• At least 3 years' experience or training in ontology and linked data tools (Protege, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World).
• At least 3 years' experience or training with SQL or SPARQL.

Nice-to-haves

• Master's degree 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.
• Familiarity with graph databases and technologies.
• Familiarity with Python or R.
• Familiarity with JSON, OpenAPI/YAML, AVRO.
• Familiarity with Agile principles, processes, and methodologies.
• Familiarity with Amazon Web Services.

Benefits

• Comprehensive health insurance coverage.
• Financial benefits including performance-based incentives and bonuses.
• Support for total well-being through various programs.