Principal Associate, Ontology and Data Modeling

Jobtailor; Massachusetts; On-site; USD 120,000 - 180,000; Full time

Job summary

Capital One seeks an experienced Ontology Engineer to develop, implement, and govern enterprise ontologies and data models, improving discovery and analytics.

You will collaborate across Finance, Enterprise partners, Technology, Product, and ML to embed semantic tech into products and services. Strong knowledge of W3C standards and tools like Protégé and Stardog is required.

You will mentor others, define standards, and help harmonize data across domains at Capital One.

Qualifications

• Bachelor's or higher in information science, CS, engineering, or related fields.
• 3+ years in metadata, ontology, or semantics-focused roles or a related masters.
• Experience with W3C standards: JSON, XML, RDF, RDFS, OWL, SKOS.
• Experience with ontology tools: Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, Data.World.
• Proficient in SQL and SPARQL; strong data modeling capabilities.

Responsibilities

• Develop, implement, and maintain enterprise ontologies and data models.
• Collaborate with Finance and Enterprise partners on domain ontologies.
• Champion creation and adoption of standardized data practices.
• Partner across Tech, Product, ML to embed semantic tech in products.
• Govern ontologies with stakeholders to improve discovery and development.
• Contribute to data integration and mapping to harmonize data with ontologies.
• Advocate the value of ontologies, semantics, and standardization across the business.
• Analyze knowledge organization strategies using ML and semantic tools.
• Stay aware of industry developments in ontology use and data modeling.
• Develop standards, guidelines, and direction for ontology and data standardization.

Skills

Ontology Development

Data Modeling

Semantic Technology

SQL

SPARQL

Machine Learning

Data Integration

Knowledge Organization

Graph Databases

Controlled Vocabularies

Detail-Oriented

Problem-Solving

Strong Communication Skills

Team Collaboration

Project Management

Education

Bachelor's degree in information science / computer science / engineering / library science / ontology / semantics / computational linguistics

3+ years’ experience in metadata field or masters in information science / computer science / engineering / library science / ontology / semantics / computational linguistics

Tools

Protégé

TopQuadrant

PoolParty

Stardog

AnzoGraph

Neptune

Data.World

Amazon Web Services

Python

R

Job description

• Develop, implement, and maintain enterprise ontologies supporting Capital One’s Data Strategy
• Collaborate across Finance and Enterprise partners to develop domain ontologies supporting Enterprise initiatives
• Champion creation and adoption of standardized data
• Partner with Technology, Product, Machine Learning, and other Capital One teams to develop and integrate semantic technology into products and services
• Develop, implement, and govern ontologies and optimized data models with stakeholders to improve data discoverability, search, and product development
• Contribute to data integration and mapping efforts to harmonize data with upper and domain ontologies
• Communicate and advocate the value of ontologies, semantics, and standardization across the business
• Analyze and implement knowledge organization strategies using machine learning, ontology management, and semantic enrichment tools
• Maintain awareness of competitor and industry developments in ontology use, knowledge organization, data modeling, and machine learning
• Develop standards, guidelines, and direction for ontology, data modeling, semantics, and Data Standardization
• Test and troubleshoot new or updated models and systems
• Manage and oversee other projects assigned by Product Owners and Supervisors

Requirements

• Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics, computational linguistics or a combination
• At least 3 years’ experience in a metadata field of work or a masters’ degree in information science, computer science, engineering, library science, ontology, semantics, computational linguistics or a combination
• At least 3 years’ experience or training in using W3C standards including linked and canonical data and ontologies (JSON, XML, RDF, RDFS, OWL, and SKOS)
• At least 3 years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)
• At least 3 years’ experience with SQL, SPARQL, or a combination
• Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery and management of enterprise data
• 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 and able to problem-solve independently
• Strong reading and writing skills
• Strong project management experience
• Excellent communication skills and ability to present ideas clearly and confidently
• Ability to work individually and with a team to meet deadlines
• Capital One will not sponsor a new applicant for employment authorization for this position

Core Competencies

Demonstrates expertise in developing and implementing enterprise ontologies and data models, with a strong focus on semantic technology and data standardization. Proficient in utilizing ontology management tools and W3C standards to enhance data discoverability and integration across various domains.

Highest-signal resume keywords

• Ontology Development
• W3C Standards (JSON, XML, RDF, RDFS, OWL, SKOS)
• Ontology and Linked Data Tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, Data.World)
• SQL and SPARQL
• Project Management

Hard Skills

• Ontology Development
• Data Modeling
• Semantic Technology
• SQL
• SPARQL
• Machine Learning
• Data Integration
• Knowledge Organization
• Graph Databases
• Controlled Vocabularies

Soft Skills

• Detail-Oriented
• Problem-Solving
• Strong Communication Skills
• Team Collaboration
• Project Management Experience

Industry Keywords

• Enterprise Ontologies
• Data Strategy
• Data Standardization
• Metadata
• Agile Principles

Tools & Technologies

• Protégé
• TopQuadrant
• PoolParty
• Stardog
• AnzoGraph
• Neptune
• Data.World
• Amazon Web Services
• Python
• R