AI Programme Delivery Lead

AI Programme Delivery Lead

Temporary 70000 - 90000 £ / year (est.) Home office (partial)
Alexander Mann Solutions

At a Glance

  • Tasks: Lead AI and digital transformation projects from concept to implementation, ensuring real business impact.
  • Company: Join Computershare, a global leader in financial administration with a commitment to innovation.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Work in a supportive culture that values diversity and offers excellent career development.
  • Why this job: Be at the forefront of AI technology and drive meaningful change in a dynamic environment.
  • Qualifications: Experience in AI programmes, strong leadership skills, and a commercial mindset are essential.

The predicted salary is between 70000 - 90000 £ per year.

Computershare is a global leader in financial administration with over 12,000 employees across more than 22 different countries. Many of the world's leading organisations use us to streamline and maximise the value of relationships with their investors, employees, creditors, and customers. Our global footprint means we have the scale to maintain robust compliance, audit, risk, financial crime, disaster recovery, and business continuity planning programs - offering peace of mind to our clients and their customers.

AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies. We partner with Computershare to support their contingent recruitment processes.

On behalf of Computershare, we are looking for an AI Programme Delivery Lead for a 12-month contract based in London (Hybrid 2-3 days per week in the office). Join us as an AI Programme Delivery Lead.

As AI Programme Delivery Lead you will drive the end-to-end execution of an AI and digital transformation programme. You'll support as both a delivery lead and a technical guide, taking ownership of AI-led initiatives from idea through to implementation, ensuring they deliver real business impact.

Your key responsibilities will include:

  • Own the end-to-end delivery of AI, data, and digital initiatives, ensuring programmes are delivered on time, within budget, and to a high standard using Agile and DevOps practices.
  • Lead the implementation of AI solutions (including agentic AI and automation), ensuring successful deployment and adoption across the business.
  • Take ownership of AI-enabled products, from early concept and prototyping through to production and scaling (including MLOps).
  • Align AI initiatives with business objectives, defining use cases, and ensuring solutions deliver meaningful commercial value.
  • Build strong relationships with stakeholders and external partners, managing expectations and bringing in specialist capabilities where required.
  • Drive the integration of AI into core business processes (e.g., STLC and automation), improving efficiency and operational performance.

What you will bring to the role:

  • Strong experience delivering complex digital or AI programmes, with a solid understanding of AI/ML, cloud platforms (AWS or Azure), and modern engineering practices.
  • Proven ability to lead cross-functional teams.
  • Commercial mindset, with the ability to connect technical solutions to real business outcomes and value.
  • Excellent stakeholder management and communication skills, including working with senior leadership.
  • Experience working in Agile environments and applying DevOps principles to enable efficient delivery.
  • Proactive and self-driven, with a curious mindset and willingness to learn and explore emerging areas such as prompt engineering and agentic AI.

Next steps: Computershare are dedicated to providing you with the opportunity to succeed on your own merits, starting from the application process. Our goal is to create an environment where everyone feels valued, to remove barriers and obstacles and ensure equal opportunities for all. If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and speak to one of our Sourcing Specialists.

AMS are committed to providing all our candidates with the opportunity to perform at their best throughout the recruitment process. Please let us know if you require any additional support or reasonable adjustments during the screening process and we will work with you and Computershare to identify the best solution to meet your requirements. We can only accept workers operating via an Umbrella or PAYE engagement model. Please note that for the duration of this assignment you will be working as an external resource engaged by AMS.

AI Programme Delivery Lead employer: Alexander Mann Solutions

Computershare is an exceptional employer, offering a dynamic and inclusive work environment in the heart of London. With a strong commitment to employee growth and development, you will have the opportunity to lead innovative AI initiatives that drive real business impact while collaborating with diverse teams. The hybrid working model promotes a healthy work-life balance, making it an ideal place for professionals looking to thrive in a forward-thinking organisation.

Alexander Mann Solutions

Contact Details:

Alexander Mann Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Programme Delivery Lead

Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.

Tip Number 2

Prepare for interviews by researching the company and its culture. Understand their AI initiatives and think about how your experience aligns with their goals. We want you to walk in feeling confident and ready to showcase how you can make a real impact!

Tip Number 3

Practice your pitch! Be ready to explain your past projects and how they relate to the role of AI Programme Delivery Lead. We suggest rehearsing with a friend or in front of a mirror to nail down your delivery and ensure you highlight your key achievements.

Tip Number 4

Don’t forget to follow up after interviews! A quick thank-you email can go a long way in showing your enthusiasm for the role. We believe that a little gratitude can set you apart from other candidates and keep you fresh in their minds.

We think you need these skills to ace AI Programme Delivery Lead

AI and Digital Transformation
Agile Methodologies
DevOps Practices
AI/ML Understanding
Cloud Platforms (AWS or Azure)
Cross-Functional Team Leadership
Stakeholder Management

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the AI Programme Delivery Lead role. Highlight your experience with AI, digital transformation, and Agile methodologies. We want to see how your skills align with what Computershare is looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your past successes in delivering AI programmes and how they relate to the responsibilities outlined in the job description.

Showcase Your Stakeholder Management Skills:Since this role involves building strong relationships with stakeholders, make sure to highlight your communication and management skills. We want to know how you've successfully navigated complex stakeholder environments in the past!

Apply Through Our Website:Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us that you’re serious about joining the team at Computershare. We can’t wait to see your application!

How to prepare for a job interview at Alexander Mann Solutions

Know Your AI Inside Out

Make sure you brush up on your knowledge of AI and machine learning concepts. Be ready to discuss how you've applied these in previous roles, especially in delivering complex programmes. This will show that you can connect technical solutions to real business outcomes.

Master the Agile and DevOps Mindset

Since the role involves Agile and DevOps practices, be prepared to share specific examples of how you've successfully implemented these methodologies in past projects. Highlight your experience in leading cross-functional teams and how it contributed to efficient delivery.

Stakeholder Management is Key

Demonstrate your excellent communication skills by preparing to discuss how you've built strong relationships with stakeholders. Think of examples where you've managed expectations and collaborated with senior leadership to drive AI initiatives.

Show Your Curiosity and Proactivity

Employers love a proactive mindset! Be ready to talk about how you've explored emerging areas like prompt engineering or agentic AI. Share any personal projects or learning experiences that showcase your curiosity and willingness to learn.