Roles & Responsibilities

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 8 years of total experience, with a minimum of 5 years in semantic (RDF) ontology building/structuring for a complex organization.

Mandatory (Experience 2) – Must have a demonstrated ability to design comprehensive, intuitive semantic ontologies within a large, complex setting.

Mandatory (Experience 3)



– Must be able to relate requirements and findings to business needs and outcomes.

Mandatory (Tech skill 1) – Must be familiar with W3C industry standards, including SPARQL and OWL.

Preferred (Tech skill 2) – Knowledge of ontology/TOMS tools such as PoolParty (Semantic Web), TopQuadrant EDG, or GraphDB (Ontotext)

Mandatory (Communication) – Must be fluent in English, with the ability to work across a complex environment with many stakeholders.

Mandatory (Education) – Must have a degree in Computer Science or Library Science, preferably with a minor / concentration / certificate in Information Management or Library Automation.

Mandatory (Note) – Must be available to work during US time zones for at least 4 hours per day.

Preferred (Tech skill 1) – Experience with graph databases, taxonomies, and NLP strategies for optimization.

Preferred (Tech skill 2) – Knowledge of ontology/TOMS tools such as PoolParty (Semantic Web), TopQuadrant EDG, or GraphDB (Ontotext)

Preferred (Tech skill 3) – Understanding of content development and search/retrieval tools.

Pay: ₹907,281.38 - ₹4,500,000.00 per year

Application Question(s)

- What is your notice period in days? (30)
- What is your current CTC in LPA?
- What is your expected CTC in LPA? (45)
- This is a remote opportunity, but are you comfortable working during US time-zone hours?

Experience:
- overall: 7 years (Required)
- semantic (RDF) ontology building/structuring: 5 years (Required)

Work Location: Remote

📌 Semantic Data Architect (Ontologist, Knowledge Graph) (India)
🏢 OptimHire
📍 India