Location: NYC, NY (Day 1 Onsite with Hybrid)
Duration: Long Term Contract
Job Responsibilities:
- Partner with business subject matter experts to understand data domains and capture key concepts, relationships, and definitions.
- Design, maintain, and evolve ontologies, taxonomies, and semantic models aligned to real-world business processes.
- Build and manage knowledge graphs that standardize meaning across datasets and systems.
- Develop and maintain RDF-based representations and semantic relationships using established semantic web standards.
- Ensure semantic models remain consistent, extensible, and understandable as business needs evolve.
- Collaborate with data and platform teams to integrate semantic models into data platforms, while publishing and documenting reusable semantic artifacts and best practices.
What You'll Bring to the Role:
- At least 6 years of professional experience with hands-on work in semantic modeling, knowledge graphs, or ontology development and a Bachelor's degree or equivalent practical experience.
- Practical experience designing and applying ontologies or semantic models in real-world data environments.
- Working knowledge of semantic web technologies (e.g., RDF, RDFS, OWL) and modeling complex data relationships.
- Experience with Knowledge Graph platforms and tooling (e.g., Neo4j) and modern graph-enabled AI approaches such as GraphRAG is a strong plus.
- Ability to translate business concepts into structured semantic representations.
- Familiarity with Python for data work, automation, or supporting semantic workflows and AI.
- Strong communication skills, comfortable collaborating with technical and non-technical partners.