What you'll do

• Own client engagements end to end: From discovery through to a working solution
• Run structured discovery: Map the current process, work out what data can be trusted and get to the problem
• Prototype: Build functional rapid prototypes yourself to validate an idea before any engineering time gets committed
• Protect scope without overriding expertise. Push back on scope creep and unrealistic timelines, but design solutions that respect the judgement of the people who know the client's business best, rather than centralising every decision just because an AI system can.
• Present recommendations to senior stakeholders
• Partner with engineering: Own delivery, sprint planning and prioritisation, and understand the technical trade-offs well enough to have an informed opinion
• Make sure what gets built gets adopted

What you'll need

• External client ownership: You've owned a client relationship (ideally in Consultancy)
• A solid understanding of AI: both in terms of being a builder yourself and understanding AI implementation at enterprise levels
• Comfort running short engagements: You can take a messy problem from first conversation to a working, tested solution inside a matter of weeks
• Confident, clear communication: You can hold a room of senior stakeholders and communicate with gravitas
• Consulting experience: This role is built around consulting-style delivery, so you'll need to have worked in a consulting (or similar) environment
• Comfort with pace and autonomy: You've thrived somewhere fast-moving and you tend to build the process you need rather than wait for someone to hand it to you
• Commercial acumen: You understand how a product decision affects a client's relationship with us