Ontology and Semantic Architect
Cook Group
full-time
Posted on:
Location Type: Office
Location: Bloomington • United States
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About the role
- Ensuring strong semantic modeling, data design, and governance practices.
- Establish standards, processes, and operating models for consistent ontology creation, maintenance, and evolution.
- Serve as the primary decision-maker for semantic definitions, conceptual models, and enterprise vocabulary management.
- Oversee the design and maintenance of ontologies that accurately represent business concepts, relationships, hierarchies, and constraints.
- Partner with domain experts to ensure semantic models reflect real business processes and data usage patterns.
- Guide the extension of ontologies to support new product lines, operational processes, or regulatory needs.
- Lead the creation and management of semantic models within Microsoft Fabric IQ, including domain modeling, semantic enrichment, and unified business definitions.
- Oversee the design and governance of Palantir Ontology artifacts, including object types, relationships, functions, schema transformations, and operational pipelines.
- Define the enterprise semantic architecture, including how ontologies integrate with data products, data pipelines, APIs, and AI/ML solutions.
- Enable AI and ML teams by providing well-structured, semantically rich data environments.
- Collaborate on the development of AI agents and semantic reasoning features that depend on precise data meaning.
- Partner with product teams, business stakeholders, data stewards, engineers, and analytics teams to ensure trusted data meaning across the enterprise.
Requirements
- Bachelor’s degree in Information Systems, Computer Science, Data Science, Information Technology, or related
- 7+ years of experience in data architecture, semantic modeling, knowledge representation, or related fields.
- Mastery in Artificial Intelligence (AI) and data concepts
- Hands-on experience with Microsoft Fabric
- Hands-on experience with Palantir Foundry Ontology, including object modeling
- Deep understanding of conceptual, logical, and semantic data modeling.
- Strong understanding of data governance, metadata management, data lineage, and interoperability principles.
- Requires occasional early morning or evening teleconferences
- Availability and willingness to travel on company business based on requirements of the role (domestically and internationally)
Benefits
- Health insurance
- 401(k) matching
- Flexible working hours
- Paid time off
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
semantic modelingdata designdata governanceontology creationconceptual modelingdata architecturemetadata managementdata lineageinteroperability principlesAI and ML solutions
Soft Skills
decision-makingcollaborationleadershipcommunication