Lead Data Ontologist

Our client seeks a Lead Data Ontologist 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.

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.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( View email address on click.appcast.io , View phone number on click.appcast.io) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.

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· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact View email address on click.appcast.io.

About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.