Workforce Data and Artificial Intelligence Foundations Lead

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

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.

• 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.

• 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.

• Business leaders, managers and employees — adoption and behaviour change
• Chief Human Resources Officers, People Business Partners and practitioners — programme delivery and capability build
• People Products and journey teams — product adoption, nudges and change methods
• Learning and Leadership Development — behaviours and future skills
• Organisation Design, Workforce Planning, Foundations and Global Digital and Technology — integrated artificial intelligence-enabled workflows

• Sustained adoption of agent-supported workflows across target user groups.
• Major programmes define, track and improve measurable behavioural outcomes.
• Leader and manager confidence in artificial intelligence-enabled decision‑making improves over time.
• Change methodology, adoption playbooks and agent onboarding operate as one coherent system.
• Employee trust in artificial intelligence-enabled ways of working strengthens as adoption scales.

By applying for this vacancy, you are confirming that you have made your Line Manager aware of your application and that you are at a point in your career with Unilever where it is appropriate for you to be applying for other positions.

Should you require additional information or reasonable adjustments to allow you to present your best self during this process, please contact your Talent Partner

Whilst the role is advertised on a full‑time basis, we would be happy to discuss possible flexible working options and what this may look like…