Required Skills & Experience

- 5 to 8 years of relevant experience , with deep functional knowledge

- Ability to define business terms precisely and spot ambiguity or overlap between concepts

- Solid skill in identifying relationships between concepts (parent-child, part-of, depends-on, etc.)

- Experience with business glossaries, data dictionaries, taxonomies or data governance work

- Strong analytical thinking and attention to detail

- Excellent communication and facilitation skills, including handling disagreement between stakeholders

- Strong documentation skills

Preferred Skills

- Familiarity with ontology and semantic concepts (taxonomy vs. ontology, classes, properties, RDF/OWL)

and tools such as Protg

- Exposure to knowledge graphs,



data catalogs or metadata management tools (Collibra, Alation, Purview,

etc.)

- Understanding of data modelling basics (entities, attributes, relationships)

Business SME, Ontology Page 2

- Exposure to AI/LLM use cases that rely on business context or semantic layers

- Experience working with data governance or data stewardship teams

Key Deliverables

- Business terms and definitions, and a business glossary

- Concept hierarchy and the relationships between terms

- Ontology business rules and mappings

- Mapping of business terms to data elements, systems and reports

📌 Business SME Ontology (Bengaluru)
🏢 Bootminds Systems
📍 Bengaluru