Lead Data Ontologist

Eliassen Group; Charlotte (NC); Hybrid; USD 138,000 - 152,000; Full time

Benefits offered by this job

Medical, Dental, Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group in Charlotte, NC seeks a senior Enterprise Ontology and Semantic Architecture Lead to define the data foundation for analytics, AI, and knowledge-driven solutions. You will lead an enterprise data blueprint focused on ontologies, semantic layers, knowledge models, and data relationships across the organization.

You will translate complex business domains into structured, machine-readable knowledge, shape standards and governance for ontology development, and partner with data, AI,

Qualifications

• Significant experience designing and implementing enterprise ontologies, semantic layers, or knowledge models.
• Strong understanding of data relationships, knowledge representation, taxonomy, metadata, and semantic modeling.
• Experience with knowledge graphs, graph databases, or graph-based data architectures.
• Proven ability to develop an enterprise-level data or information architecture across complex domains.
• Experience translating business concepts into formal data and semantic models.
• Strong understanding of modern data architecture and its application to AI, analytics, and enterprise search.
• Ability to operate strategically with senior stakeholders while partnering with technical teams on implementation.

Responsibilities

• Define and establish an enterprise data and information blueprint, including core domains, entities, relationships, and data concepts.
• Lead the design and development of enterprise ontologies and semantic models that create a common understanding of organizational data.
• Build and evolve semantic layers and knowledge models that connect disparate data sources and enable consistent interpretation across the enterprise.
• Define relationships between data, business concepts, systems, and entities to support knowledge graph and graph-based solutions.
• Partner with business, data, AI, and technology leaders to translate business concepts into scalable information and knowledge structures.
• Establish standards, patterns, and governance for ontology development, semantic modeling, metadata, and knowledge representation.
• Help shape the technical architecture and roadmap for knowledge graphs, semantic technologies, and AI-ready enterprise data.
• Work closely with engineering teams to translate conceptual models into scalable production implementations.

Skills

Ontology design

Semantic modeling

Knowledge graphs

Data architecture

Stakeholder management

Tools

Graph databases

RDF/OWL

Metadata management

Job description

Description:

Hybrid 3 on in Charlotte, NC

Our client seeks a senior Enterprise Ontology and Semantic Architecture Lead to define and establish the data foundation that enables enterprise-wide analytics, AI, and knowledge-driven solutions. The role will lead the development of an enterprise data blueprint with a focus on ontologies, semantic layers, knowledge models, and data relationships across the organization. This individual will translate complex business domains and data assets into structured, connected, machine-readable knowledge that supports AI, analytics, search, and other enterprise applications.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $100.00 to $110.00/hr. w2

Responsibilities:

• Define and establish an enterprise data and information blueprint, including core domains, entities, relationships, and data concepts.
• Lead the design and development of enterprise ontologies and semantic models that create a common understanding of organizational data.
• Build and evolve semantic layers and knowledge models that connect disparate data sources and enable consistent interpretation across the enterprise.
• Define relationships between data, business concepts, systems, and entities to support knowledge graph and graph-based solutions.
• Partner with business, data, AI, and technology leaders to translate business concepts into scalable information and knowledge structures.
• Establish standards, patterns, and governance for ontology development, semantic modeling, metadata, and knowledge representation.
• Help shape the technical architecture and roadmap for knowledge graphs, semantic technologies, and AI-ready enterprise data.
• Work closely with engineering teams to translate conceptual models into scalable production implementations.

Experience Requirements:

• Significant experience designing and implementing enterprise ontologies, semantic layers, or knowledge models.
• Strong understanding of data relationships, knowledge representation, taxonomy, metadata, and semantic modeling.
• Experience with knowledge graphs, graph databases, or graph-based data architectures.
• Proven ability to develop an enterprise-level data or information architecture or blueprint across complex business domains.
• Experience translating business concepts and domain knowledge into formal data and semantic models.
• Strong understanding of modern data architecture and its application to AI, machine learning, analytics, and enterprise search.
• Ability to operate strategically with senior stakeholders while partnering with technical teams on implementation.