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 creation and adoption, and collaborates with Technology, Product, and other Capital One teams to integrate semantic technology into products and services. The Senior Associate will help evolve Capital One’s semantic program, clearly communicating its value and advocating for 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 efforts across the business
• Partner with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics into 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 related to 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; stays organized and focused on goals
• Passionate & Customer Focus: Drives growth in others, connects with internal and external customers, and thrives on building and shipping products
• Learner: Actively pursues new technologies and knowledge, and asks 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 relevant discipline
• At least 2 years of experience or training in 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 ontology development and the use of 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
• Project management experience
• Excellent communication skills and the ability to present ideas clearly and with confidence; 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.

Pay

• 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, and the actual annualized salary amount will be reflected in the candidate’s offer letter. This role is eligible to earn performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.