AI Transformation Lead

We are looking for an innovative and hands-on AI Lead to help the Head of Corporate Systems and Chief Digital & Information Officer stay connected and ahead of AI planning, engagement and delivery. This will include areas such as looking at use cases where the GPA can deploy AI technologies to strengthen its operating model, delivery of its business plan and helping with its implementation. Staying connected to Government wide Ai forums, translating the Government Ai Playbook into “what it means for the GPA” and how we can use it to scale up our deployment, staying connected with Government wide Ai initiatives that can be introduced into the GPA, leading on show & tell sessions for the GPA etc. This unique role is designed to help bring Ai more to life and relatable to the GPA so the organisation better understands opportunities and focus areas. The successful candidate will harness advanced digital platforms and emerging AI capabilities-including Gen AI and Agentic AI-for intelligent automation that connects end-to-end processes and multiple workflows, as well as RPA for repetitive process automation.

In line with the UK Government AI Playbook and Opportunities Action Plan, you will oversee the “Scan - Pilot - Scale” methodology to identify, test, and successfully implement innovative AI and automation initiatives that redefine public service delivery and workplace efficiency.

If you are a hands-on leader with a passion for integrating AI, automation, and digital technologies to transform modern workplace environments, we invite you to apply.

As an AI Transformation Lead your main responsibilities will be:

• Oversee the integration and expansion of critical digital platforms to support a smart and digitally enabled building environment..
• Collaborate with workplace and sustainability teams to integrate cutting-edge digital solutions in building management and operational workflows.
• Champion a culture of continuous innovation and digital transformation across the department.
• Work closely with cross-functional teams to ensure robust alignment and efficient rollout of AI initiatives across both digital platforms and physical infrastructures.
• Promote continuous professional development and cross-training across AI, RPA, low-code platforms, and emerging digital technologies.
• Encourage a collaborative and agile culture that supports innovation at every stage of the digital transformation journey., In applying for this role, you acknowledge the following “this role falls in scope of the Off Payroll Working in the Public Sector legislation. Any rates of payment quoted will reflect the gross rate per day for the assignment and will be subject to appropriate taxes and statutory costs. As such the payment to the intermediary and your income resulting from this contract will be different”.

• Domain Knowledge: Understanding the specific industry or application area where AI is being applied is crucial for effective problem-solving and solution development.
• Knowledge and understanding of AI Playbook for the UK Government.
• Knowledge and understanding of AI Opportunities Action Plan.
• Proven expertise in delivering AI and other technologies in a public sector environment.
• Proven experience in leading AI projects within an engineering and manufacturing environment.
• Experience of creating low code/no code automation using Microsoft PowerApps, Power Automate and wider Power Platform.
• Experience of robotic process automation (RPA) (e.g. UiPath)
• Strong understanding of AI technologies, machine learning algorithms, and data analytics

Desirable:

• Machine Learning and AI Fundamentals: A deep understanding of machine learning algorithms, models, and techniques is crucial.
• Programming Proficiency: Skills in languages like Python or R are essential for developing and implementing AI solutions.
• Data Science and Analytics: Experience with data analysis, data modeling, and data engineering is vital for building and deploying AI systems.
• Strategic Vision: The ability to develop and execute an AI strategy that aligns with overall business goals is essential.
• Project Management: Experience in planning, organizing, and managing complex AI projects, including budget and resource allocation.
• Change Management: Ability to guide and manage organisational changes related to the introduction and implementation of new AI technologies.