AI and Data Literacy Lead (UK)

In this role you will build practical AI and data literacy to help teams confidently use data and emerging technologies in daily work. You will translate expectations into role-specific learning and guided application within real workflows. The role challenges teams to rethink processes while upholding human judgment and measurable business value. You will work across patient-focused initiatives to drive responsible, evidence-based use of data and AI.

• hybrid-first work model
• equal opportunity employer
• global team
• caring, supportive culture
• opportunity to grow and shape career path
• focus on patient value

• Define and maintain an AI and data literacy framework aligned with business roles, decisions, and workflows
• Assess capability needs and address learning gaps and adoption barriers
• Translate complex data, analytics, governance, and AI concepts into practical business language
• Design role-based learning paths, playbooks, resources and sessions
• Embed learning into real business questions, data products, and workflows
• Build understanding of data meaning, origin, quality, limitations, and suitability
• Promote responsible use through human oversight, verification, and evidence-based decision-making
• Measure proficiency, application, adoption, and business impact, and iterate learning based on feedback

• Bachelor in data, analytics, artificial intelligence, business, learning, organisational development, life sciences; advanced degree or professional qualification preferred
• Experience in data, analytics, digital transformation, learning, change, or business enablement roles
• Ability to translate complex data and AI concepts for non-technical audiences
• Experience designing role-based learning, capability frameworks, and applied learning experiences
• Experience supporting adoption and behavior change in a complex, collaborative organization
• Understanding of data quality, governance, analytics, and responsible AI principles
• Strong facilitation, communication, coaching, and storytelling skills with link to measurable outcomes
• Experience in pharmaceuticals, healthcare, or life sciences preferred

• facilitation
• communication
• coaching
• AI concepts translation for non-technical audiences
• data literacy frameworks
• governance and data quality