Senior Semantic Data & Knowledge Engineer

Job Description Summary Location: Hyderabad, India #LI-Hybrid Internal job title: Senior Specialist, DDIT PO&CF Knowledge Management About the Role: The Senior Semantic Data & Knowledge Engineer will be responsible for designing, implementing, and maintaining enterprise knowledge structures, ontologies, semantic assets, metadata frameworks, knowledge graphs, and business glossaries that support Analytics, AI, GenAI, Semantic Search, and Agentic AI use cases across P&O and Corporate Functions. The role will focus on translating enterprise business knowledge into reusable semantic assets that enable discoverability, governance, contextual intelligence, and AI-driven decision support. Job Description Key Responsibilities:   Knowledge Modelling & Semantic Design: Develop and maintain ontologies, taxonomies, semantic models, and business glossaries; Define relationships between business concepts, policies, controls, processes, and data assets; Build and maintain enterprise knowledge graphs and semantic repositories; Translate business knowledge into AI-ready semantic structures; Support standardization of enterprise business terminology. Metadata Management & Governance: Support metadata onboarding, stewardship, governance, and quality initiatives; Maintain metadata repositories and catalog assets; Support business glossary development and governance processes; Collaborate with data stewards, domain owners, and governance teams; Ensure metadata standards and quality requirements are met. Semantic Layer Implementation: Support implementation and maintenance of Semantic Layer capabilities; Configure and maintain semantic models and business mappings; support onboarding of business domains and enterprise data products; Ensure consistency between source systems and semantic representations. Knowledge Management & Enterprise Search: Support semantic search and enterprise knowledge discovery initiatives; Improve discoverability of structured and unstructured knowledge assets; Enable enterprise search experiences powered by semantic technologies; Support knowledge repositories used by business users and AI applications. AI, RAG & Knowledge Graph Enablement: Support implementation of RAG and GraphRAG architectures; Create and maintain knowledge assets used by AI assistants, copilots, and agents; Support AI grounding through enterprise knowledge repositories; Assist in testing, validation, and optimization of AI-enabled knowledge solutions. Business Domain Collaboration: Work closely with business SMEs and domain owners, and model business knowledge across: P&O, Legal, Security, ERC, ESG, Corporate Affairs, Internal Audit, Corporate Communications, Finance (selected domains); Support harmonization of definitions, terminology, controls, policies, and business concepts. Essential Requirements: Bachelor's or Master's degree in Information Management, Computer Science, Data Science, Analytics, AI, or related field.