Associate Director, Semantic Data & Knowledge Strategy

Job Description Summary Location: Hyderabad, India #LI-Hybrid Internal job title: Associate Director, PO&CF Data Enablement About the Role: The Associate Director, PO&CF Data Enablement will lead the strategy, governance, adoption, and value realization of enterprise data enablement capabilities across People & Organization (P&O) and Corporate Functions. The role will be responsible for establishing AI-ready, analytics-ready, and business-consumable data ecosystems through semantic technologies, metadata management, ontologies, knowledge graphs, enterprise taxonomies, data products, and knowledge management frameworks. This role serves as a strategic bridge between business stakeholders, Enterprise Data Management, Data Governance, Data & AI teams, and technology organizations to ensure enterprise knowledge and data assets are discoverable, trusted, reusable, and consumable for Analytics, GenAI, Agentic AI, Semantic Search, Knowledge Discovery, and Decision Intelligence use cases. Job Description Key Responsibilities:   Data Enablement Strategy & Roadmap: define and execute the PO&CF Data Enablement strategy and roadmap, driving enterprise adoption of Semantic Layer, metadata and knowledge management, and AI-ready data capabilities. It will establish standards for data discoverability, interoperability, governance, and reuse, while building a long-term roadmap to enable AI, Analytics, Reporting, Knowledge Management, and Agentic AI initiatives and accelerate business outcomes through trusted, governed, and reusable data and knowledge assets. Semantic Layer & Knowledge Architecture Leadership: own the Semantic Layer strategy, governance, and adoption across PO&CF, driving the development of enterprise knowledge models, semantic assets, ontologies, taxonomies, and knowledge graphs. It will establish semantic frameworks that connect structured and unstructured data, integrate metadata, semantic technologies, knowledge graphs, and AI-ready architectures into the enterprise data ecosystem, and promote reusable business concepts and knowledge assets across domains. Metadata, Knowledge Management & Governance: drive enterprise metadata management and governance, leveraging platforms such as Collibra to lead ontology development, taxonomy management, business glossary governance, and knowledge modelling. It will establish consistent standards for business definitions, controls, policies, data, and knowledge assets, while partnering with Enterprise Data Management and business stakeholders to strengthen data discoverability, consistency, and trust across the organization. AI, GenAI & Agentic AI Enablement: Enable enterprise AI and Agentic AI capabilities by establishing governed semantic assets and AI-ready knowledge frameworks that support copilots, assistants, intelligent agents, and semantic search.