AI CoE SME - Enablement

This role sits within the Data Science & AI Centre of Excellence and contributes to building Unilever’s AI capabilities. It focuses on applying data and AI best practices in digital programmes and sharing practical know-how. You’ll work alongside Data Foundation teams and the wider Global Data & Technology (GDT) community to help design, deliver, and improve AI solutions that are effective, scalable, and aligned with Unilever’s Responsible AI principles. The role also supports research into emerging AI trends, develops reusable assets, and helps grow a culture of responsible innovation through education, enablement, and hands-on support. Key Accountabilities Partner with H3L+XOps and programme teams to incorporate AI best practices into digital products and services. Provide hands-on support for AI model development, deployment, monitoring, and governance in collaboration with engineering and data teams. Contribute reusable code modules, templates, and frameworks that accelerate AI adoption. Help build and maintain shared libraries of AI assets, including curated datasets and evaluation benchmarks. Promote Responsible AI by researching and building content for data-ethics guidance and regulatory standards. Track and experiment with current AI research, tools, and methods (e.g., foundation models, multimodal AI, synthetic data) and share learnings with peers. Draft concise technical notes, how-to guides, and upskilling materials to support capability building. Co-organise and participate in knowledge-sharing sessions, workshops, and community-of-practice activities.