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This role focuses on moving beyond isolated pilots and volunteer-led activity, and building a more deliberate approach to re-engineering work through AI, automation, and better operating design. This role will lead that for Ops. It will set the direction for what an AI-native, and highly leveraged operations model should look like, help identify where the biggest opportunities sit, and create the structure that allows domain-owned use cases to turn into real outcomes. Domain leads will remain accountable for the impact delivered in their own areas. This role exists to bring the thought leadership, technical credibility, outside-in perspective, and driving force needed to help make that happen across the function.
Job Responsibility
Set the AI and innovation direction for Operations, with a clear view of what will create the most meaningful step change in customer experience, productivity, quality, and scalability
Work with the domains to identify and prioritise the use cases that matter most, based on business value, feasibility, and readiness
Lead the central Ops innovation model, including the structure, ways of working, and foundations needed for domain-led re-engineering to succeed
Lead a small team of Forward Deployed AI specialists to turn ideas into real, scalable solutions
Build credibility for AI across Ops through clear thinking, practical examples, and a strong view of where the real value is and where the risks are
Stay current on the AI landscape, emerging patterns, and market developments, and translate that into practical implications for how Ops should evolve
Work with central business enablement and capability teams so that new capabilities landing across the company are connected to Ops needs, and the right upskilling happens as use cases scale
Represent Operations in central engineering, making sure that Ops priorities are well understood, well framed, and well supported
Track progress and value delivered, and keep the focus on outcomes rather than activity
Requirements
Strong operational judgement
Enough technical depth to have credibility with engineers and technical partners
Deep curiosity in AI and adjacent technology
The ability to turn ideas into outcomes
Strong executive presence
A practical, creative, solution-oriented mindset
Long-term thinking
Strong cross-functional instincts
Led meaningful transformation in an operations or service environment
Built or scaled AI, automation, or digital workflow improvements beyond small experiments
Worked closely with engineering or technical teams and can hold your own in those conversations
Influenced senior leaders and moved cross-functional agendas forward without relying only on formal authority
Helped shape operating models, governance, or delivery mechanisms that made change more repeatable
Worked in an environment where pace, ambiguity, and practical execution all mattered