Antology Specialist

Senior Ontology Consultant (Enterprise Semantic Layer and Knowledge Graph)

Infosys Consulting, the management consulting business of Infosys, is looking to hire Senior Ontology Consultant. You should have between 10 years of experience.

Successful candidates will be part of a specialised customer-facing team in our rapidly expanding Enterprise AI Practice. They will work closely with our AI Consultants and SMEs to define and deliver best-in-class solutions.

You will be entrepreneurial, inspired by execution excellence, possess strong design skills creating client deliverables and bid documents, highly analytical, emotionally intelligent, a team player, and only satisfied when your work has a meaningful impact. You will help our clients identify and qualify opportunities to leverage automation to unlock business value and maintain a competitive edge.

Infosys Consulting offers exceptional opportunity for personal growth and, alongside client engagements, you will be recognized for your personal contribution to leading and developing new opportunities, developing thought leadership and service offerings in the domains of artificial intelligence and automation.

Location: [Location / Remote / Hybrid]
Experience: 10+ years in data, semantics, or knowledge management, with 5+ years in ontology and knowledge graph work

About the Role

You will help a enterprise clients design, govern, and drive adoption of an Enterprise Semantic Layer (ESL), including ontologies, taxonomies, and knowledge graphs. You will work across 3 markets and multiple industry domains, turning conflicting business definitions into harmonized, governed semantic assets. You will also help make enterprise data, structured and unstructured, AI-ready.

This is a senior, hands-on role. You are expected to model, prototype, facilitate, and advise, and to bring external perspective and thought leadership.

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 Protg, 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
• Bachelors 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