SportAtlas
Lead, Technology & AI Transformation
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McLaren Racing is evolving its Commercial and Marketing operating model to become more integrated, data-driven, automated and AI-enabled. This role will lead 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.
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Working alongside Process Engineers and business stakeholders, the role will connect process design, technology architecture and AI use cases into one coherent future-state operating model. The successful candidate will balance strategic leadership with practical delivery, ensuring recommendations are grounded, scalable and capable of being implemented.
What You'll Do
- 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.
- 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.
- Drive platform rationalisation and consolidation, creating a connected and efficient technology ecosystem.
- Work with internal teams, vendors and implementation partners to validate designs and support successful delivery.
- Influence and engage senior stakeholders, translating complex technology concepts into clear business recommendations.
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