Manager, Ontology and Data Modeling

Capital One Financial

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Cambridge, MAMcLean, VARichmond, VANew York, NYPlano, TX
Salary: $164,800–$188,100 / yr
Employment: Full-time
Posted: 11 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $195k

This role $176k

$150k $241k

below market most similar roles pay here above market

This role pays less than 56% of similar roles. Most pay $159,000–$231,987 — the blue band above. At the midpoint, this role pays about $176k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 1917 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1045 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Manager, Ontology and Data Modeling

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JOB TITLE: Manager, Ontology and Data Modeling The Manager, Ontology and Data Modeling joins the Finance Products and Data Solutions team to develop, implement, and maintain enterprise ontologies supporting the corporate Data Strategy. This role involves collaborating across Finance and Enterprise partners to create domain ontologies for ERP replacement initiatives, championing standardized data adoption, and integrating semantic technology into products and services. Key responsibilities include defining actionable problem statements, prioritizing the ontology roadmap, and managing teams to govern optimized data models. The position requires expertise in W3C standards such as RDF, RDFS, OWL, SKOS, and SHACL, alongside proficiency in tools like Protégé, Stardog, and SPARQL. Candidates must navigate complex data integration and mapping efforts to harmonize data with upper and domain ontologies while leveraging knowledge organization concepts to solve technical white space problems.

Skills

Ontology Data Modeling RDF RDFS OWL SKOS SHACL SPARQL SQL Graph Databases Python R JSON XML AVRO OpenAPI YAML Protégé TopQuadrant PoolParty Stardog AnzoGraph Neptune Data.World Agile

What you'll do

Develop, implement, and maintain enterprise ontologies to support the company's data strategy.
Create and manage domain ontologies to support ERP replacement initiatives.
Integrate semantic technology into products and services in partnership with Technology and Product teams.
Own and prioritize the near-term ontology and data modeling roadmap to deliver business outcomes.
Manage teams responsible for developing, implementing, and governing ontologies and optimized data models.
Contribute to data integration and mapping efforts to harmonize data with upper and domain ontologies.
Develop standards and guidelines for ontology, data modeling, and data standardization.
Communicate and advocate for the value of semantic technology and standardization across the business.

What we're looking for

Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics, or computational linguistics.
At least 4 years of experience in a metadata field such as ontology, taxonomy, semantics, or computational linguistics.
At least 4 years of experience or training in W3C standards including JSON, XML, RDF, RDFS, OWL, and SKOS.
At least 4 years of experience or training in ontology and linked data tools like Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World.
At least 4 years of experience or training with SQL or SPARQL.
Master’s degree or PhD in information science, computer science, engineering, library science, ontology, semantics, or computational linguistics (preferred).
Familiarity with graph databases, Python, R, JSON, OpenAPI/YAML, AVRO, and Agile principles (preferred).
Strong project management, research, and communication skills to lead teams and influence stakeholders (preferred).

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