Technical Team Lead

• Own delivery of projects end-to-end (scope, plan, execution, outcomes)
• Work directly with customers to define problems and shape solutions
• Lead proposals, estimates, and delivery planning
• Manage risks, dependencies, and commercial performance
• Make pragmatic trade-offs between speed, cost, and scalability

Accountable for delivering value, not just completing work

• MANAGE AND DEVELOP A MULTIDISCIPLINARY TEAM
• Line manage a team of up to ~7 people across disciplines
• Run 1:1s, support development, and manage performance
• Build a high-trust, high-performance team environment
• Balance delivery, development, and utilisation

You build teams that deliver and improve over time

• DRIVE GROWTH WITHIN YOUR DOMAIN
• Identify and develop opportunities within customer engagements
• Expand successful work across client organisations

(additional sites, teams, or use cases)

• Act as a clear point of contact for Business Development within your domain
• Contribute to proposals and commercial development
• Contribute to improving delivery efficiency over time

Own product thinking within your domain - grounded in delivery

• OWN PRODUCT THINKING WITHIN YOUR DOMAIN
• Take responsibility for a defined but evolving area of our technical offering
• Combine technical capability with real-world application to create value
• Identify where delivery work can become repeatable, scalable approaches
• Shape these into reusable plays, methods, and assets
• Assess commercial viability - not just technical interest
• Collaborate with other teams where capabilities overlap or extend

Domains evolve through delivery, collaboration, and opportunity

• WORK WITH TECHNICAL LEADERS
• Partner with Chief Engineers on solution architecture
• Work with Technical Community Leads on standards, skills, and capability
• Ensure delivery aligns with best practice and evolving capability, * AI is part of how we deliver - not a separate activity
• You actively use AI tools in your day-to-day work
• You look for ways AI can improve delivery and customer outcomes
• You are curious about how AI changes how work is done

• Strong experience leading customer-facing technical projects
• Degree in a relevant discipline, i.e. Computer Science, Software Engineering, or a related technical discipline, or qualified by equivalent industry experience
• Experience of working within a consultancy environment is beneficial
• Comfortable working across disciplines (engineering, data, software)
• Experience managing and developing people
• Strong communication - able to simplify complexity
• Commercial awareness and pragmatic decision-making
• Ability to identify and shape opportunities with customers, * You prefer narrow, clearly defined roles
• You want to focus only on delivery or only on people
• You are uncomfortable with ambiguity and fast iteration
• You are not interested in AI as part of how work gets done