Principal Associate, Ontology and Data Modeling

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: McLean, VACambridge, MARichmond, VANew York, NYPlano, TX
Salary: $131,300–$149,800 / yr
Posted: 11 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $192k

This role $141k

$119k most similar roles pay here $247k

This role pays less than 84% of similar roles. Most pay $154,175–$230,250 — the shaded band above. At the midpoint, this role pays about $141k versus about $192k for comparable roles.

Based on 239 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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Principal Associate, Ontology and Data Modeling

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The Principal Associate, 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 with Finance and Enterprise partners to create domain ontologies, championing standardized data, and integrating semantic technology into products and services. The individual will manage data integration and mapping efforts to harmonize information with upper and domain ontologies while advocating for semantic standards across the business. Key technical requirements include proficiency in W3C standards such as RDF, RDFS, OWL, SKOS, and SHACL, along with experience using tools like Protégé, Stardog, or Neptune. The role requires skills in SQL, SPARQL, Python, or R to solve complex data discoverability and management problems within the financial services domain through advanced knowledge organization strategies and semantic enrichment.

Skills

Ontology Data Modeling RDF RDFS OWL SKOS SHACL SPARQL SQL Python R Graph Databases JSON XML AVRO OpenAPI YAML Agile Machine Learning

What you'll do

Develop, implement, and govern enterprise ontologies and optimized data models to improve data discoverability and search.
Execute data integration and mapping efforts to harmonize information with upper and domain ontologies.
Integrate semantic technologies into company products and services in partnership with Technology and Machine Learning teams.
Advocate for the value of semantic technology, knowledge organization concepts, and data standardization across the business.
Implement knowledge organization strategies using tools for machine learning, ontology management, and semantic enrichment.
Establish standards, guidelines, and direction for data modeling and semantics across the organization.
Test and troubleshoot new or updated models and systems to ensure functionality.

What we're looking for

Hold a Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics, or computational linguistics.
Possess at least 3 years of experience in a metadata field of work or hold a Master's degree in a relevant technical field.
Have at least 3 years of experience or training in W3C standards including JSON, XML, RDF, RDFS, OWL, and SKOS.
Have at least 3 years of experience or training in ontology and linked data tools such as Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World.
Possess at least 3 years of experience with SQL, SPARQL, or a combination of both.

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