Ontology & Semantic Architect overseeing semantic models and governance for Cook Inc. Leading cross-functional collaboration on data architecture and AI-driven capabilities.
Responsibilities
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)
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