Manager, Ontology – Data Modeling

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Illinois

On-site

USD 130,000 - 190,000

Full time

8 days ago

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Job summary

Capital One seeks a senior professional to lead enterprise ontologies and data modeling, shaping the data strategy and semantic technology across multiple business lines. You will define roadmaps, mentor junior staff, and collaborate with technology and ML teams to deploy standardized ontologies and data models.

With a strong background in W3C standards and linked data tools, you will drive cross-functional initiatives, measure outcomes, and communicate value to senior stakeholders.

Qualifications

Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics.
4+ years’ experience in a metadata field (ontology, taxonomy, semantics or computational linguistics).
4+ years’ experience or training in W3C standards (JSON, XML, RDF, RDFS, OWL, SKOS).
4+ years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, Data.World).
4+ years’ experience or training with SQL or SPARQL.
Preferred: Master’s degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics.
Understanding of ontologies, 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.
Strong project management experience.
Ability to work individually and with a team to meet deadlines.

Responsibilities

Develop, implement, and maintain enterprise ontologies supporting Capital One’s Data Strategy.
Develop domain ontologies across Capital One Lines of Business and Functions.
Partner with Technology, Machine Learning, and other teams to develop and integrate semantic technology into products and services.
Define actionable problem statements, acceptance criteria, success metrics, and measurable outcomes.
Own and prioritize the near-term Ontology and Data Modeling roadmap.
Create reusable, extensible, and resilient capabilities.
Develop and communicate a 6-month vision to senior stakeholders and partner teams.
Lead recruiting, mentoring, and development of junior ontology and data modeling associates.
Manage teams developing, implementing, and governing ontologies and optimized data models.
Contribute to data integration and mapping efforts.
Communicate and advocate the value of ontologies, semantics, and standardization across the business.
Monitor competitor and industry developments.
Adhere to W3C ontology standards including RDF, RDFS, OWL, SKOS, and SHACL.
Develop standards, guidelines, and direction for ontology, data modeling, semantics, and data standardization.

Skills

Strong project management

Team leadership

Stakeholder communication

Mentoring

Problem solving

Education

Bachelor's degree (information science, CS, engineering, library science, ontology, semantics or computational linguistics)

Master’s degree or PhD in information science, CS, engineering, library science, ontology, semantics or computational linguistics

Tools

Protégé

TopQuadrant

PoolParty

Stardog

AnzoGraph

Neptune

Data.World

Amazon Web Services

OpenAPI/YAML

AVRO

Job description

Responsibilities

Develop, implement, and maintain enterprise ontologies supporting Capital One’s Data Strategy
Develop domain ontologies across Capital One Lines of Business and Functions
Partner with Technology, Machine Learning, and other teams to develop and integrate semantic technology into products and services
Define actionable problem statements, acceptance criteria, success metrics, and measurable outcomes
Own and prioritize the near‑term Ontology and Data Modeling roadmap
Create reusable, extensible, and resilient capabilities
Develop and communicate a 6‑month vision to senior stakeholders and partner teams
Lead recruiting, mentoring, and development of junior ontology and data modeling associates
Manage teams developing, implementing, and governing ontologies and optimized data models
Contribute to data integration and mapping efforts
Communicate and advocate the value of ontologies, semantics, and standardization across the business
Monitor competitor and industry developments
Adhere to W3C ontology standards including RDF, RDFS, OWL, SKOS, and SHACL
Develop standards, guidelines, and direction for ontology, data modeling, semantics, and data standardization

Requirements

Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
At least 4 years’ experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics)
At least 4 years’ experience or training in using W3C standards including linked and canonical data and ontologies (JSON, XML, RDF, RDFS, OWL, and SKOS)
At least 4 years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)
At least 4 years’ experience or training with SQL or SPARQL
Preferred: Master’s degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
Understanding of ontologies, 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
Strong project management experience
Ability to work individually and with a team to meet deadlines

Core Competencies

Demonstrates expertise in developing and implementing enterprise ontologies and data modeling strategies, adhering to W3C standards and utilizing ontology tools. Proven ability to lead teams, mentor associates, and communicate effectively with stakeholders to drive data integration and semantic technology initiatives.

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