Hybrid Ontology Architect for Healthcare AI & Knowledge Graphs

CitiusTech Inc

Irving (TX)

Ibrido

USD 140.000 - 190.000

Tempo pieno

48 ore fa

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Descrizione del lavoro

CitiusTech Inc. is seeking an experienced Ontology Architect to lead the design and implementation of ontologies, taxonomies, and knowledge graph solutions that enable data interoperability, analytics, and AI-driven insights across the organization.

The ideal candidate will collaborate with business stakeholders, data architects, and engineering teams to establish a scalable semantic framework supporting data management and governance for enterprise AI initiatives.

Competenze

10+ years of experience in ontology engineering, semantic data modeling, knowledge graphs, metadata management, data architecture, or related domains.
Strong expertise in RDF, OWL, SPARQL, and semantic web technologies.
Ontology design methodologies and frameworks.
Knowledge graph architecture and implementation.
Enterprise metadata management and semantic modeling.
Experience designing and implementing enterprise-scale data models and semantic frameworks.
Strong understanding of data interoperability, taxonomy management, and information architecture.
Proven ability to collaborate with business stakeholders, architects, and engineering teams to align semantic models with business objectives.
Excellent communication, stakeholder management, and architectural leadership skills.

Mansioni

Design and maintain enterprise ontologies, taxonomies, and semantic data models.
Define ontology standards, modeling principles, and governance processes.
Develop conceptual, logical, and domain-specific knowledge models.
Design and implement enterprise knowledge graph strategies and architectures.
Map business concepts and domain entities to enterprise data assets and systems.
Establish metadata management, semantic governance, and ontology lifecycle management practices.
Partner with business and technical stakeholders to improve data interoperability across platforms.
Support AI/GenAI initiatives through semantic enrichment and knowledge graph enablement.
Ensure semantic frameworks align with enterprise architecture standards and long-term technology strategy.
Provide thought leadership in semantic technologies, knowledge management, and emerging AI-driven data capabilities.