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 advance enterprise initiatives. The position champions standardized data and collaborates with Technology, Product, and other Capital One teams to integrate semantic technology into products and services. The Senior Associate will help build and evolve Capital One’s semantic program, clearly articulating its value and advocating for adoption of knowledge organization concepts.

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 Capital One’s ontology, semantics, and standardization initiatives 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 machine learning, ontology management, and semantic enrichment tools
• Maintain awareness of competitor and industry developments in ontology use, knowledge organization, data modeling, and machine learning
• Understand and adhere to W3C standards for ontologies, 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; organized, multitasking, and results-focused
• Passionate & Customer Focus: Drives growth in others, builds products with enthusiasm, and connects with internal and external customers to understand needs
• Learner: Eager to learn new technologies and approaches, with humility to ask for help when needed
• Team Player: Enjoys collaborating with diverse groups, prioritizes team success, and builds lasting relationships

Requirements

• Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics, computational linguistics, or a related field
• At least 2 years of experience in a metadata field of work, or a master’s degree in a related field
• At least 2 years of experience or training 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 with 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 problem solver with strong reading and writing skills
• Strong project management experience and excellent communication skills
• Ability to work independently and collaboratively to meet deadlines

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries for part-time roles will be prorated based on agreed hours.

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