Lead, Technology & AI Transformation

McLaren Racing is evolving its Commercial and Marketing operating model to become more integrated, data-driven, automated and AI-enabled. This role leads the technology and AI transformation workstream, defining the systems, platforms, data foundations and practical AI capabilities required to turn redesigned ways of working into measurable operational improvement. Working alongside Process Engineers and business stakeholders, the role connects process design, technology architecture and AI use cases into one coherent future-state operating model.

• Lead the technology and AI workstream within the Commercial & Marketing transformation programme, defining a clear technology vision aligned to business objectives and AI strategy.
• Assess the current technology landscape, identifying platform fragmentation, integration gaps, manual workarounds and opportunities for simplification.
• Identify where AI can remove manual effort, improve decision quality, enhance insight, support personalisation or optimise content and workflows.
• Design future-state technology architecture, including systems, data models, integrations, APIs and automation frameworks.
• Ensure technology solutions support scalable operations, data-driven decision making and AI-enabled ways of working.
• Partner with Process Engineers to translate future business processes into practical, system-enabled solutions.
• Work closely with the Lead, AI Transformation to ensure AI use cases are supported by the right data, platforms and architecture, and define how AI capabilities are embedded into core systems and workflows, avoiding siloed or point solutions.
• Evaluate and recommend technology solutions across MarTech, data platforms, workflow automation and integration technologies.
• Develop technology roadmaps and delivery plans, balancing business value, feasibility, scalability and long-term operability, and drive platform rationalisation and consolidation to create a connected and efficient technology ecosystem.
• Work with internal teams, vendors and implementation partners to validate designs and support successful delivery, and influence senior stakeholders by translating complex technology concepts into clear business recommendations.

• Ability to balance strategic leadership with practical delivery.
• Ability to ensure recommendations are grounded, scalable and capable of being implemented.