Senior Associate, Ontology and Data Modeling

About the role

The Senior Associate of Ontology and Data Modeling will develop, implement, and maintain enterprise ontologies in support of Capital One’s Data Strategy. Working within Finance Products and Data Solutions, this role partners across Finance and Enterprise teams to design domain ontologies that underpin enterprise initiatives, champion standardized data, and integrate semantic technology into Capital One products and services. The position requires the ability to advance an evolving semantic program, clearly articulate its value, and collaborate with Technology, Product, Machine Learning, and other teams.

Responsibilities

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

Role-Based Competencies

• Intellectually Curious: Asks why, explores ideas, and is comfortable with ambiguity while seeking new challenges
• Communicator & Influencer: Conveys complex ideas clearly to any audience and rallies teams around shared priorities
• Do-er: Biased toward action, willing to experiment and learn from failure while staying organized and focused
• Passionate & Customer Focus: Grows others, builds consensus, and thrives on shipping products while understanding customer needs
• Learner: Actively pursues new technologies and knowledge, asking for help when needed
• Team Player: Enjoys collaborating with diverse groups, prioritizes team goals, and builds lasting relationships

Basic Qualifications

• Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics, computational linguistics, or a combination
• At least 2 years of experience in a metadata field of work or a master’s degree in information science, computer science, engineering, library science, ontology, semantics, computational linguistics, or a combination
• At least 2 years of experience or training in using W3C standards including linked and canonical data and ontologies (JSON, XML, RDF, RDFS, OWL, and SKOS)
• At least 2 years of experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)
• At least 2 years of experience with SQL, SPARQL, or a combination

Preferred Qualifications

• Master’s degree in information science, computer science, engineering, library science, ontology, semantics, or computational linguistics
• Understanding of developing ontologies and using controlled vocabularies and thesauri to enhance enterprise data discovery and management
• 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
• Detail-oriented with strong problem-solving skills
• Strong reading and writing skills
• Strong project management experience
• Excellent communication skills and the ability to present ideas clearly and with confidence; ability to work individually and with a team to meet deadlines

Pay

Salaries are location-based and full-time. Annual ranges for this role are:

• Cambridge, MA: $111,200 – $126,900
• McLean, VA: $111,200 – $126,900
• New York, NY: $121,300 – $138,400
• Plano, TX: $101,100 – $115,400
• Richmond, VA: $101,100 – $115,400

Candidates hired for other locations will be subject to the pay range associated with that location. This role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.