Management Consulting, Head of AI and Technology

Role purpose The Head of AI and Technology is accountable for the direction, delivery and adoption of AI across Teneo Management Consulting and for ensuring that its broader technology environment supports the needs of the business. The role sets the AI strategy and investment priorities, leads the AI Engineering team, owns the strategy and priorities for Management Consulting-specific technology, software, data, knowledge-management workflows and subscriptions, and acts as the principal Management Consulting stakeholder for Teneo IT on centrally managed technology, data platforms and services. The role connects Management Consulting's priorities with Teneo's central AI team, Teneo IT and other control and enabling functions. It translates business needs into Management Consulting-owned AI and technology initiatives or clear requirements for central teams, moves high-value AI and software solutions from experimentation into reliable use, and gives consultants the skills and support required to use approved AI tools effectively. It is primarily an internal capability role. The role is accountable for the allocation and utilisation of the AI Engineering team, including support for selected client engagements, and for the Management Consulting-specific AI and broader technology within its remit. Teneo IT and Teneo's central AI team remain accountable for the centrally managed services and capabilities, while Management Consulting engagement leaders retain accountability for client relationships, overall engagement delivery and revenue targets. Key responsibilities AI strategy and priorities Own the Management Consulting AI strategy, roadmap and priorities, aligned with the business strategy and Teneo-wide AI direction. Consult Teneo's central AI team on new solutions to reuse firm-wide capabilities, avoid duplication and manage enterprise dependencies. Identify and assess AI opportunities across consulting delivery, business development, proposition development, internal operations and knowledge work. Own prioritisation of AI opportunities and allocation of AI Engineering capacity within the approved budget, considering value, feasibility, risk, reuse potential, capacity and cost. Escalate material investments, major reprioritisation and strategically sensitive work to Management Consulting leadership. Develop business cases and recommend whether Management Consulting should build, buy, partner, reuse a central capability, scale an existing initiative or stop further investment. Define outcome measures for priority AI initiatives and report progress, realised value, adoption, spend, risks and dependencies to Management Consulting and wider Teneo leadership. Leadership of the AI Engineering team Lead the day-to-day work of the Management Consulting AI Engineering team, including objectives, prioritisation, resource allocation, workforce planning, utilisation, delivery oversight and performance management. Balance the team's capacity across client engagements, internal tooling development, enablement of the broader MC team, and technical capability improvement, while maintaining sustainable workloads. Set and enforce engineering and product standards for Management Consulting AI solutions, consistent with mandatory Teneo-wide architecture, AI, security and technology standards. Define clear demand, resourcing and decision-making processes between the AI Engineering team and key stakeholders, including Resourcing, Operations, Finance, project leads and the wider client-facing team. Build the team's capability through recruitment, coaching, feedback, career development and targeted use of external partners where justified. Maintain high practical AI fluency and sufficient technical understanding to create simple prototypes, automations and demonstrations, evaluate their outputs and translate business needs into clear engineering requirements, without becoming the bottleneck for implementation.