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 communicating its value and advocating for adoption.

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 support the development and integration of semantics in 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 related to 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; organized, able to multitask and prioritize
• Passionate & Customer Focus: Grows others, builds consensus, thrives on product development, 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, puts team goals first, and builds lasting relationships

Requirements

• 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 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 with strong independent problem-solving skills
• Strong reading and writing skills
• Strong project management experience
• Excellent communication skills with the ability to present ideas clearly and confidently

Pay

Salaries are location-based and full-time annual ranges are as follows:

• 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

This role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Incentives may be discretionary or non-discretionary depending on the plan.