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programmers.io · Louisville, Kentucky
Job Description:
Position: Data Ontologist
Louisville, Kentucky ( Hybrid)
Hire Type: Contract
We are seeking a skilled Data Ontologist to develop and manage enterprise ontologies and semantic data models that support data governance, analytics, AI, and knowledge management initiatives. The ideal candidate will collaborate with business stakeholders, data architects, data scientists, and engineers to create semantic frameworks that improve data interoperability, quality, discoverability, and business understanding.
Design, develop, and maintain enterprise ontologies, taxonomies, controlled vocabularies, and knowledge graphs.
Define entity relationships, metadata standards, and semantic models across multiple business domains.
Collaborate with business and technical teams to translate business concepts into semantic data structures.
Support data governance initiatives by establishing data definitions, standards, and lineage frameworks.
Develop and maintain ontology documentation, naming conventions, and business glossaries.
Implement semantic technologies such as RDF, OWL, SKOS, SPARQL, and graph databases.
Partner with data engineers and architects to integrate ontology models with enterprise data platforms.
Improve data discoverability, interoperability, and reuse across systems.
Support AI, machine learning, and generative AI initiatives through semantic enrichment and knowledge graph development.
Conduct ontology reviews, impact assessments, and change management activities.
Ensure compliance with data governance, privacy, and regulatory requirements.
Technical Skills
Semantic Web Technologies
Knowledge Graph Design
SQL
Python
Data Modeling
Metadata Management
Graph Databases
Data Governance
Machine Learning Concepts
Cloud Data Platforms
Key Competencies
Analytical Thinking
Problem Solving
Attention to Detail
Data Governance Mindset
Cross-Functional Collaboration
Communication and Documentation
Strategic Thinking
Preferred Qualifications
Master's degree in Information Science, Data Science, Artificial Intelligence, or a related discipline.
Experience with enterprise data platforms such as Azure, AWS, or Google Cloud.
Familiarity with healthcare, finance, retail, or insurance data domains.
Understanding of Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
Knowledge of data catalog and governance tools such as Collibra, Alation, Informatica, or Microsoft Purview.
Strong understanding of:
Ontologies and taxonomy design
Knowledge graphs
Data modeling concepts
Metadata management
Master Data Management (MDM)
Data governance frameworks
Experience with any one of:
RDF
OWL
SPARQL
SKOS
Protégé
Graph databases (Neo4j, Amazon Neptune, Stardog, GraphDB)
SQL and data analysis experience.
Strong communication and stakeholder management skills
Details
| Company | programmers.io |
| Location | Louisville, Kentucky |
| Type | FULL TIME |
| Niche | Computer and Mathematical Occupations |