Infosys Consulting, the management consulting business of Infosys, is looking for a Senior Ontology Consultant with 10+ years of experience to join our expanding Enterprise AI Practice.

In this senior, client-facing role, you will partner with enterprise clients, AI Consultants, and SMEs to design and operationalize Enterprise Semantic Layers (ESL) that enable scalable, AI-ready information ecosystems.

Your work will span ontologies, taxonomies, knowledge graphs, and semantic governance, helping clients harmonize conflicting business definitions and convert them into consistent, governed semantic assets. Working across three markets and multiple industry domains, you will help make both structured and unstructured enterprise data AI-ready and usable for next-generation AI solutions.

You will be expected to model, prototype, facilitate, and advise, combining hands-on expertise with senior stakeholder engagement and thought leadership. We are looking for an entrepreneurial and highly analytical professional with strong design and consulting capabilities. You should be comfortable producing compelling client deliverables and bid documents, facilitating complex stakeholder conversations, and translating business challenges into practical semantic and AI solutions.

Beyond client engagements, you will contribute to the growth of the practice through recent opportunity development, thought leadership, and the creation of differentiated offerings across AI, semantic technologies, knowledge solutions, and automation.

Location: Anywhere in India

Experience: 10+ years in data, semantics, or knowledge management,



with 5+ years in ontology and knowledge graph work.

Key Responsibilities:

Ontology and semantic modeling

- Design and build enterprise ontologies and taxonomies using standards such as OWL, RDF/RDFS, SKOS, and SHACL
- Identify cross-domain business concepts with conflicting definitions and lead co-creation workshops to reach harmonized definitions
- Develop modeling standards, naming conventions, reuse rules, and versioning approaches
- Apply competency questions and use-case-driven modeling to keep ontologies practical and traceable to business value

Governance and operating model

- Define the governance framework and target operating model for ESL assets (roles, decision rights, councils, lifecycle management, change control)
- Create adoption guidance and onboarding playbooks for domains
- Drive endorsement of frameworks through enterprise governance forums

Required Qualifications

- 10+ years of experience in data management, information architecture, or knowledge engineering, with at least 5 years in ontology, taxonomy, or knowledge graph design
- Demonstrated delivery of an enterprise-scale ontology or semantic layer in a large, multi-domain organization




- Strong working knowledge of semantic web standards: RDF, OWL, SKOS, SHACL, SPARQL
- Hands-on experience with ontology tools (for example Protégé, TopBraid, PoolParty, or equivalents)
- Experience with at least one graph platform, either RDF triple stores (such as GraphDB, Stardog, Neptune) or property graphs (such as Neo4j)
- Experience defining data or semantic governance frameworks and operating models
- Excellent facilitation and communication skills, with the ability to resolve definitional conflicts among senior stakeholders
- Bachelor’s degree in computer science, information science, data science, or a related field (master’s preferred)

Preferred Qualifications

- Experience with enterprise ontologies and standards in your client’s industry (for example FIBO for financial services, or other domain reference models)
- Exposure to data catalog and metadata management tools (such as Collibra, Alation, Informatica, Microsoft Purview) and their semantic features
- Experience with business semantic layers in BI and analytics platforms
- Experience linking knowledge graphs to LLM and GenAI applications (GraphRAG, grounding, entity linking)
- Familiarity with DAMA-DMBOK, DCAM, or similar data management frameworks
- Knowledge of unstructured data classification and content management approaches
- Experience with metadata and data quality frameworks, and with regulatory or internal control alignment
- Publications, conference talks, or community contributions in semantic technologies and knowledge graphs

📌 Senior Ontology Consultant (Bengaluru)
🏢 Infosys Consulting
📍 Bengaluru