AI-Driven Tech Transformation Lead

McLaren Racing; Woking; On-site; GBP 120,000 - 180,000; Full time

Job summary

McLaren Racing is evolving its Commercial and Marketing operating model to be more data-driven and AI-enabled. This role leads the technology and AI transformation workstream, defining platforms, data foundations and capabilities to deliver measurable improvements.

Working with Process Engineers and stakeholders, you will connect process design, architecture and AI use cases into a coherent future-state model, balancing strategic leadership with practical delivery.

Qualifications

• Experience leading technology or operating model transformation programs.
• Background in business analysis, solution or enterprise architecture.
• Proven ability to translate business problems into technology and AI requirements.
• Experience applying AI, ML, GenAI or intelligent automation to business problems.
• Familiarity with data platforms, APIs, integrations and cloud environments.

Responsibilities

• Lead the technology and AI workstream within the transformation programme, defining vision aligned to business objectives and AI strategy.
• Assess technology landscape, identify gaps and opportunities for simplification.
• Design future-state architecture including systems, data models, integrations and automation frameworks.
• Ensure solutions support scalable operations and data-driven decision making.
• Translate future processes into practical, system-enabled solutions with internal teams and partners.
• Engage senior stakeholders with clear business recommendations and roadmaps.

Skills

Technology transformation

AI / GenAI

Enterprise architecture

Data platforms

Cloud-based applications

Stakeholder management

Solution delivery

Job description

McLaren Racing is evolving its Commercial and Marketing operating model to be more data-driven and AI-enabled. This role leads the technology and AI transformation workstream, defining platforms, data foundations and capabilities to deliver measurable improvements.

Working with Process Engineers and stakeholders, you will connect process design, architecture and AI use cases into a coherent future-state model, balancing strategic leadership with practical delivery.