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Workforce Data and Artificial Intelligence Foundations Lead
senior · Artificial Intelligence
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
- 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
Success measures
- 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.
Notes
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
What we offer
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 for you. We strive to achieve a family-friendly and inclusive workplace and to, above all, create possibilities for all.
Diversity at Unilever is about inclusion, embracing differences, creating possibilities and growing together for better business performance. We embrace diversity in our workforce. This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity. We are also more than happy to provide reasonable adjustments during our application and interview process to enable you to be present your best self. To find out more, including about our Employee Resource Groups, please click here Equity, Diversity & Inclusion (unilever.com).
Relocation to the UK
Please be aware if you are applying for this role from outside the UK, if successful, your application will be treated as a self-initiated Change Location Outside of Country (CLOC) transfer. This means any relocation costs must be self-funded with the potential to reclaim some specific pre-approved expenses up to £5,000. Please speak to your Talent Partner if you have any questions.
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