VP of AI Transformation
On-siteLondon, England, United Kingdom
Job Summary
Define and execute the enterprise AI transformation vision and roadmap, establishing the operating model, governance framework, and execution roadmap to enable AI adoption across all business functions. Lead the AI Transformation Office and cross-functional teams to drive the adoption of AI agents, intelligent automation, and AI-enabled workflows while ensuring initiatives deliver measurable business value through defined KPIs, ROI analysis, and productivity improvements. Build an AI-first culture, establish AI Champions networks, and embed AI maturity assessments into business planning and operational reviews to foster workforce enablement and behavioral change. Partner closely with the CEO, Executive Leadership Team, Engineering, IT, and functional leaders to align initiatives, manage vendor governance, and position the organization as an AI-native company.
Required Qualifications
- 10+ years of experience in business transformation, digital transformation, enterprise technology, AI strategy, or AI leadership roles
- Proven track record leading large-scale organisational transformation programmes
- Deep understanding of artificial intelligence, machine learning, generative AI, agentic AI systems, automation, and enterprise AI platforms
- Experience designing enterprise operating models, governance frameworks, and transformation programmes
- Strong understanding of business process transformation and continuous improvement methodologies
- Experience leading cross-functional initiatives involving business, technology, and operations teams
- Exceptional executive communication and stakeholder management skills
- Strong analytical, strategic, and systems-thinking capabilities
- Demonstrated ability to translate emerging technologies into measurable business outcomes
- Experience building AI adoption programmes at enterprise scale
Desired Qualifications
- Experience building AI Centres of Excellence (CoE) or enterprise AI programmes
- Experience deploying AI agents and intelligent automation solutions at scale
- Background in robotics, advanced manufacturing, industrial automation, or deep-tech organisations
- Familiarity with Lean, Six Sigma, capability maturity frameworks, and operational excellence methodologies
- Experience with enterprise knowledge management and AI-driven decision support systems
- MBA or advanced degree in Engineering, Computer Science, Business, or a related field
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