Title : Workforce Data and Artificial Intelligence Foundations Lead
Reporting into : David Mee
Work Level : WL3X
Location : Sunlight House Kingston
Primary focus: Building and governing Unilever’s workforce digital twin and artificial intelligence data foundation — trusted workforce, finance, role, skills and knowledge data for People Products
Role overview
Owns the architecture, governance and adoption of Unilever’s workforce digital twin — the trusted data and knowledge layer that People agents and People Products draw on. The role works across the People function, Finance, Global Digital and Technology, vendors and journey teams to ensure the twin reflects current workforce reality, supports artificial intelligence-enabled products and creates a reliable foundation for insight, planning and decisions.
Key accountabilities
- Own the design and evolution of the workforce digital twin as the trusted workforce data and knowledge layer for People agents and People Products.
- Define canonical data elements — roles, skills, positions, organisation design structures, People knowledge, finance data and policy/precedent — as governed data products with refresh service level agreements.
- Extend the twin to include the finance dimension, connecting workforce data to cost, budget, productivity and planning data in one integrated layer.
- Govern integration standards, access permissions, pipeline quality, reconciliation and remediation workflows with Global Digital and Technology, data owners and platform teams.
- Build and maintain the artificial intelligence knowledge layer — retrieval architecture, accuracy benchmarks and drift monitoring — so agents query policy, precedent and workforce data reliably.
- Ensure approved agent actions and human decisions flow back into the twin and relevant systems of record.
- Manage vendors and third-party delivery, owning quality, integration and adoption of the foundation across People Product teams.
Required capabilities & experience
- Deep experience in enterprise data, data architecture, process design and governance, with a clear link to business value.
- Strong understanding of workforce, finance, roles, positions, skills, organisation design structures and People knowledge domains.
- Hands-on literacy in data engineering, integration, data quality, reconciliation, knowledge graphs, retrieval architecture and drift monitoring.
- Ability to translate People function and People Product needs into governed data products, access rules, refresh service level agreements and operating processes.
- Vendor, platform and stakeholder management experience across the People function, Finance, technology and third-party delivery teams.
Key partnerships
- Business leaders, managers and employees — adoption and behaviour change