Ontology Expert - Remote (Dallas, TX, US)

Req ID: 367052

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Ontology Expert - Remote to join our team in Dallas, Texas (US-TX), United States (US).

Ontology Expert – Healthcare AI Solutions

Day to Day job Duties: (what this person will do on a daily/weekly basis)
Role Summary

We are seeking an experienced Ontology Expert to design, develop, and govern healthcare ontologies that power AI-driven and agentic healthcare solutions. The role focuses on building semantic models that enable interoperability, reasoning, knowledge representation, and explainable AI across clinical and healthcare enterprise systems.
Key Responsibilities

- Design, build, and maintain healthcare ontologies and semantic models.

- Define domain vocabularies, taxonomies, and relationships for AI-driven solutions.

- Support knowledge representation for AI agents, decision-support, and clinical intelligence systems.

- Collaborate with clinicians, data scientists, and AI engineers to translate knowledge into formal models.

- Govern ontology lifecycle, versioning, and semantic consistency.

Healthcare Ontology & Semantic Modeling

- Develop ontologies using standards such as OWL, RDF, and SKOS.

- Work with healthcare standards and terminologies (SNOMED CT, ICD-10, LOINC, RxNorm).

- Enable semantic interoperability across EHRs and healthcare data sources.

- Support reasoning, inference, and rule-based logic for AI systems.

AI & Agentic Solution Support

- Enable AI and GenAI systems with structured healthcare knowledge.

- Support agentic workflows, decision models, and explainable AI outputs.

- Collaborate on RAG pipelines and knowledge graph integration for LLM-based systems.

- Ensure semantic accuracy and safety for clinical use cases.

Technical Skills & Tools

- Strong knowledge of OWL, RDF, SPARQL, and knowledge graph technologies.

- Experience with ontology tools such as Protégé, TopBraid, or Stardog.

- Familiarity with FHIR, HL7, and healthcare data models.

- Exposure to AI/ML and GenAI systems, including LLM-enabled solutions.

- Programming or scripting experience in Python or similar languages (preferred).

Compliance, Governance & Quality

- Ensure ontologies align with clinical safety, regulatory, and compliance requirements.

- Support auditability, traceability, and explainability of AI decisions.

- Define semantic governance policies and best practices.

Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)
Required Skills & Experience

- 5+ years of experience in ontology engineering, semantic modeling, or knowledge engineering.

- Strong healthcare domain knowledge (clinical, payer, or life sciences).

- Experience working with structured and unstructured healthcare data.

- Ability to collaborate across technical and clinical teams.

Nice to Have;
Preferred Qualifications

- Background in clinical informatics or biomedical informatics.

- Experience with healthcare AI platforms or decision-support systems.

- Knowledge of semantic search, reasoning engines, or knowledge graphs.

- Advanced degree in Computer Science, Biomedical Informatics, or related fields.

Soft Skills

- Strong analytical and conceptual thinking abilities.

- Excellent communication skills to work with clinical and technical stakeholders.

- Attention to detail and passion for semantic accuracy.

Why Join Us

This role offers the opportunity to shape the semantic foundation of AI-driven healthcare solutions, supporting intelligent agents, explainable AI, and interoperable healthcare systems at scale.
Must reside in the US

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $105,840.00-$147,000.00.This range reflects th