Head of AI & Delivery Operations

We are looking for a hands‑on Head of AI Delivery & Operations to turn practical AI opportunities into working solutions across multiple business units. This role is suited to someone who enjoys building, testing and improving solutions, rather than focusing exclusively on AI strategy. You will work closely with executive leadership, technology teams and business stakeholders to identify opportunities, validate solutions and deliver measurable business outcomes.

You will lead AI governance, develop intelligent automation capabilities, evaluate emerging technologies and support the responsible adoption of AI across the organisation. The role will initially operate as a hands‑on leadership position within a lean team, with the opportunity to grow the capability as business needs evolve.

• Establish and manage a practical AI operating framework across the organisation.
• Evaluate AI platforms, tools and emerging technologies to identify business opportunities.
• Develop governance, security, privacy and responsible AI standards.
• Partner with business and technology leaders to support safe and effective AI adoption.
• Guide teams on using AI tools effectively while managing risk and cost.
• Identify opportunities to improve business processes, customer experiences and employee productivity through AI.
• Design and implement AI-powered assistants, intelligent agents and automated workflows across business functions.
• Develop solutions that integrate AI with existing business systems, applications and processes.
• Build and manage knowledge-based AI solutions that provide reliable and relevant information.
• Implement appropriate controls, testing, performance monitoring and escalation processes.
• Take AI initiatives from initial concept and proof of concept through to production implementation.
• Work with enterprise AI technologies and platforms.
• Explore and implement large language models (LLMs), retrieval-augmented generation (RAG) and agentic AI solutions.
• Evaluate privately hosted and open-source AI models where appropriate.
• Collaborate with development, infrastructure, cybersecurity and data teams to integrate AI into the existing technology environment.
• Assess technical feasibility, scalability, performance, security and cost when selecting solutions.
• Determine when solutions should be developed internally or delivered through external technology partners.

• Partner with business leaders to understand operational challenges and identify meaningful AI opportunities.
• Establish a structured approach to evaluating and prioritising AI initiatives.
• Lead practical experimentation and pilot projects to demonstrate business value.
• Monitor emerging AI technologies and identify relevant opportunities.
• Encourage knowledge-sharing, collaboration and responsible AI adoption across the organisation.

• Develop business cases for AI initiatives and assess potential return on investment.
• Manage AI-related expenditure, including software licensing, infrastructure and external service providers.
• Monitor adoption, performance and measurable business outcomes.
• Develop and manage an AI delivery roadmap aligned with business priorities.
• Provide leadership with clear updates on progress, opportunities, risks and results.

• Essential Experience & Skills
• Proven experience delivering AI solutions within a complex business or enterprise environment.
• Strong hands‑on technical knowledge of AI technologies, particularly LLMs, intelligent agents and automation.
• Practical experience with Microsoft’s AI ecosystem, ideally including Copilot, Copilot Studio and Azure AI services.
• Experience developing RAG solutions, AI assistants…