Roles & Responsibilities
- Design and build ontologies (knowledge models) that organize Dell's business information in a structured way.
- Connect data from different systems so that all information is consistent and easy to understand.
- Create relationships between products, customers, services, and other business data to improve search and AI capabilities.
- Work closely with business teams to understand their requirements and convert them into structured knowledge models.
- Ensure data is organized according to industry standards such as RDF, OWL, and SPARQL.
- Improve enterprise search, analytics, and AI-driven applications by maintaining accurate knowledge structures.
- Collaborate with developers, data engineers, AI teams, and business stakeholders on knowledge management projects.
- Manage and update ontologies as new products, services, and business information are introduced.
- Support knowledge graph and metadata initiatives to improve data quality and consistency.
- Use graph databases and ontology management tools (where applicable) to maintain semantic data models.





Ideal Candidate
- Strong Ontologist Profile with deep semantic (RDF) ontology experience in complex enterprise environments
- Mandatory (Experience 1) – Must have 7+ years of total experience, with 5+ years in semantic (RDF) ontology building/structuring for a complex/large enterprises
- Mandatory (Experience 2) – Must have a strong understanding of content and information management, data structures, and semantic metadata extraction
- Mandatory (Tech skill 1) – Must have solid experience with graph databases, taxonomies, and NLP strategies for optimization
- Mandatory (Tech skill 2) – Must have strong working experience of ontology/TOMS tools such as PoolParty (Semantic Web), TopQuadrant EDG, or GraphDB (Ontotext)
- Mandatory (Tech skill 3) – Must be familiar with W3C industry standards, including SPARQL and OWL.
- Mandatory (Communication) – Must be fluent in English, with strong stakeho

📌 Semantic Data Architect (India)
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