Associate Director, Semantic Data & Knowledge Strategy

About the role

The Associate Director, PO&CF Data Enablement leads the strategy, governance, adoption and value realization of enterprise data enablement across People & Organization (P&O) and Corporate Functions. The role builds 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. It acts as a bridge between business stakeholders, Enterprise Data Management, Data Governance, Data & AI teams and technology organizations.

Key responsibilities

• Define and execute the P&O&CF data enablement strategy and roadmap, setting standards for data discoverability, interoperability, governance and reuse, and accelerating AI, analytics, reporting, knowledge management and agentic AI initiatives.
• Own the semantic layer strategy and governance, developing enterprise knowledge models, ontologies, taxonomies and knowledge graphs that connect structured and unstructured data.
• Drive metadata management and governance using platforms such as Collibra, including ontology development, taxonomy management, business glossary governance and knowledge modelling.
• Enable AI and agentic AI by establishing governed semantic assets and knowledge frameworks supporting copilots, assistants, intelligent agents and semantic search, and promoting RAG and GraphRAG architectures.
• Partner with business leaders and SMEs to model and govern knowledge across P&O, Legal, Security & Information Security, Ethics, Risk & Compliance, ESG, Corporate Affairs, Internal Audit, Corporate Communications and selected Finance domains.
• Engage senior leaders, define KPIs and adoption metrics, lead change management, and support vendor evaluations and partnerships.

Required profile

• 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.
• Proven experience leading enterprise-scale data and knowledge initiatives and working with senior business stakeholders and global organizations.
• Strong understanding of enterprise data governance and semantic technologies.

Required skills

• Experience with AWS data platforms, data lakehouse architectures, Collibra, knowledge graphs and vector databases is essential.
• Desirable: AWS Data Lakes, Microsoft Fabric, data products, semantic layer technologies, ontology engineering, taxonomy design, enterprise search, agentic AI architectures, API and integration frameworks.
• Desirable: knowledge of People & Organization and corporate function domains (HR, legal, compliance, ESG, finance).