Job description
Delivery Manager | Manchester (Hybrid)
Join a business right at the beginning of their AI journey!!
"We are building a new AI capability from the ground up as part of a wider transformation of the business and this is an opportunity to join right at the beginning of our journey: shaping the strategy, foundations, delivery approach and culture rather than inheriting somebody else's playbook."
The role summary:
As the Delivery Manager for this team, you will bring structure, momentum and transparency to a new portfolio of AI initiatives. Working at the centre of the new team, you will connect business priorities with product, design, architecture, engineering, data, testing, security and operational change.
AI delivery is rarely linear: discovery, experimentation, evaluation and productionisation often overlap. You will introduce the right level of discipline without slowing learning down. Your focus will be on outcomes, dependencies, decisions, risks and adoption, ensuring teams are solving worthwhile problems and that working solutions land safely in the business.
What you will be excpted to do (responsibilities):
- Set up and run the end-to-end delivery approach for the first wave of AI products and automation initiatives.
- Turn strategic priorities into clear delivery plans, milestones, dependencies, ownership and measurable outcomes.
- Coordinate multidisciplinary teams across product, design, AI, engineering, data, architecture, QA, security, legal and operations.
- Create a disciplined route from problem discovery and proof of value through production, rollout and benefits realisation.
- Manage delivery risks specific to AI, including uncertain model performance, data readiness, evaluation, safety, cost and third-party dependencies.
- Establish effective governance, reporting and decision forums while protecting the team's ability to move quickly.
- Remove blockers, manage cross-programme dependencies and ensure decisions are made at the right level.
- Plan pilots, phased rollouts, operational readiness, training, communications and business adoption.
- Track whether delivered solutions are being used and whether they are producing the intended customer, colleague or commercial value.
- Help shape delivery capability, ways of working and resourcing as the AI team grows.
The ideal person we are looking for:
With a track record in agile project & programme delivery, it is expected that you will offer:
- A strong record of leading complex AI, technology or digital projects across multidisciplinary teams.
- Experience taking new products, platforms or automation from discovery into production and operational adoption.
- Comfort working with ambiguity, experimentation and changing evidence while maintaining clear accountability.
- Strong understanding of modern software delivery, cloud platforms, data dependencies, testing and release management.
- Excellent stakeholder leadership, with the confidence to challenge priorities, surface difficult trade-offs and secure decisions.
- Commercial awareness and a relentless focus on benefits, user adoption and measurable outcomes.
- The ability to create clarity and pace without burdening a new team with excessive process.
Why join and next steps:
You will have genuine influence, visibility and the space to build well from day one. The team will tackle meaningful business problems, combining rapid experimentation with the standards required to make AI secure, trusted and valuable at scale. If you enjoy creating clarity where there is ambiguity and want your work to shape an organisation's future, this is a rare opportunity to do exactly that.
Apply today, we are looking to move quickly - the quicker we build the team, the quicker we can start moving ahead with the AI plan.
Day-to-day
Develop and maintain software applications to meet client requirements.
Collaborate with cross-functional teams to design scalable solutions.
Troubleshoot and resolve technical issues promptly.
Participate in code reviews to ensure code quality and standards.
Document software functionality and update technical manuals.
Monitor system performance and implement improvements.
Stay updated with emerging technologies and integrate them as needed.
Provide technical support and training to end-users.
Apply today
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