Associate Director, Semantic Data & Knowledge Strategy

Overview

Lead the strategy, governance, adoption and value realization of enterprise data enablement capabilities across People & Organization and Corporate Functions, establishing AI-ready, analytics-ready and business-consumable data ecosystems through semantic technologies.

What you'll do

• 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.
• Establish standards for data discoverability, interoperability, governance and reuse.
• Own the Semantic Layer strategy, governance and adoption across PO&CF, driving development of enterprise knowledge models, semantic assets, ontologies, taxonomies and knowledge graphs.
• Establish semantic frameworks that connect structured and unstructured data, integrating metadata, semantic technologies, knowledge graphs and AI-ready architectures into the enterprise data ecosystem.
• Drive enterprise metadata management and governance, leveraging platforms such as Collibra to lead ontology development, taxonomy management, business glossary governance and knowledge modelling.
• Establish consistent standards for business definitions, controls, policies, data and knowledge assets.
• 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.
• Drive adoption of RAG and GraphRAG architectures and partner with Data Science, Analytics and AI teams to accelerate enterprise AI initiatives.
• Partner with business leaders and SMEs to model and govern knowledge across P&O and Corporate Functions, including Legal, Security & Information Security, Ethics, Risk & Compliance, ESG, Corporate Affairs, Internal Audit, Corporate Communications and selected Finance domains.
• Engage senior leaders across P&O and Corporate Functions, partnering with EDM, Architecture, Security, Compliance, Data Governance, Analytics and AI organizations to drive strategic alignment and delivery.
• Define KPIs, adoption metrics and value realization measures, and lead organizational change management and capability adoption.
• Support strategic vendor evaluations and partnerships across data, AI and knowledge management.

What you'll need

• Bachelor's or Master's degree in Computer Science, Information Management, Data Science, AI, Analytics, Engineering or a related field.
• 10+ years of experience in Data, Analytics, AI, Data Governance, Knowledge Management or Digital Transformation.
• Experience with AWS Data Platforms, Data Lakehouse Architectures, Collibra, Knowledge Graphs and Vector Databases.
• Proven experience leading enterprise-scale data and knowledge initiatives.
• Experience working with senior business stakeholders and global organizations.
• Strong understanding of enterprise data governance and semantic technologies.

Nice to have

• Experience with AWS Data Lakes and Analytics Ecosystem, Microsoft Fabric, Enterprise Data Platforms, Data Products, Metadata Management, Semantic Layer Technologies, Ontology Engineering, Taxonomy Design, Enterprise Search, AI Knowledge Repositories, Agentic AI Architectures, and API and Integration Frameworks.
• Experience and knowledge in the People & Organization domain: Core HR & Workforce, Administration, Workforce Planning, People Analytics, Talent & Skills Intelligence, Learning & Capability Development, Organizational Effectiveness, Rewards & Compensation, Employee Experience and Workforce Transformation.
• Experience and knowledge in Corporate Functions: Legal, Security & Information Security, Ethics, Risk & Compliance, ESG, Corporate Affairs, Internal Audit, Corporate Communications and Finance.

Details

• Location: Hyderabad, India.
• Work mode: Hybrid.