AI Transformation Lead

Location: South East London

Computershare is 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. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.

We are looking for an AI Transformation Lead for a 12 Month contract contract based in London or Edinburgh (3 times per week in the office). Join us as an AI Transformation Lead As AI Transformation Lead you will drive the delivery of large-scale AI and technology transformation programmes. This is a highly technical, delivery-focused leadership role for someone with a strong engineering background who can bridge the gap between business and technology teams, ensuring AI products, platforms, and services are successfully delivered and create measurable business value.

Your key responsibilities will include:
Lead the end-to-end delivery of AI transformation programmes, ensuring successful execution from concept through to production and business adoption. Coordinate multiple technology work streams, managing dependencies, risks, and delivery challenges to achieve programme objectives. Act as the key link between business and technical teams, translating strategic goals into actionable delivery plans. Ensure AI solutions are supported by the appropriate platforms, infrastructure, operating models, governance, and processes.

Provide technical leadership and challenge to engineering, architecture, and data science teams, helping resolve complex delivery issues. Work with stakeholders to define success metrics, measure outcomes, and ensure AI investments deliver tangible business and customer value. What you will bring to the role:
Strong experience delivering complex technology, digital, data, and AI transformation programmes within large enterprise environments. Strong engineering or technical background with the ability to engage credibly with architects, engineers, and data scientists. Experience delivering AI, Machine Learning, automation, or data-driven products and platforms ong knowledge of cloud environments, particularly Azure, and familiarity with AI/ML solution delivery life cycles. Exceptional stakeholder management skills, with the ability to influence senior leaders and technical teams alike.

Proven track record of leading multidisciplinary teams and driving successful outcomes in complex, fast-paced transformation programmes. 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.