At a Glance
- Tasks: Lead AI adoption and automation to enhance productivity across various business functions.
- Company: Established national organisation focused on digital transformation.
- Benefits: Competitive salary, strong benefits package, and hybrid working options.
- Other info: Opportunity for hands-on work with cutting-edge AI technologies.
- Why this job: Make a real impact by driving AI solutions in a people-focused environment.
- Qualifications: Experience in AI transformation and strong stakeholder management skills.
The predicted salary is between 70000 - 90000 £ per year.
Location: Swindon or London Hybrid
Salary: £65,000 - £74,000 plus strong wider benefits package.
Duration: 2 Year Fixed-Term Contract
About the role
Our client, a well-established national organisation, are looking for an AI Transformation Manager to lead AI adoption, automation, and digital workplace improvement across a complex stakeholder environment. You will identify opportunities, build business cases, deliver proof of concepts, implement solutions, and drive measurable productivity improvements across multiple business functions. This is a hands-on AI transformation role using Microsoft Copilot, Power Automate, Microsoft 365, Azure AI Foundry, ChatGPT and Claude within a people-focused environment where adoption, change, and business outcomes are the priority.
Key responsibilities
- Identify and prioritise AI, automation and productivity improvement opportunities across the organisation
- Build and maintain a pipeline of high-value use cases aligned to business impact and ROI
- Deliver proof of concepts, pilots and production-ready AI solutions
- Design and implement workflow automation using Power Automate and related technologies
- Lead AI adoption, training and awareness programmes across business teams
- Develop and maintain prompt libraries, frameworks and best practice guidance
- Work closely with business leaders, HR and technology teams to drive adoption and change
- Support AI governance, security and data compliance requirements across initiatives
- Facilitate workshops to identify opportunities and redesign business processes using AI and automation
- Measure and report productivity gains, adoption metrics and business outcomes
- Improve knowledge management and information discovery through practical AI solutions
- Monitor emerging technologies and recommend new AI and automation capabilities where appropriate
Skills and experience
- Strong experience delivering AI transformation, automation or digital workplace initiatives
- Good understanding of Generative AI, LLMs and AI productivity tools
- Experience with Microsoft Copilot, Microsoft 365 and Power Automate
- Knowledge of Azure AI services, ChatGPT, Claude or similar AI platforms
- Experience building and scaling prompt engineering frameworks and prompt libraries
- Background in business process improvement, automation and operational change
- Strong stakeholder management experience across business and technology teams
- Experience delivering training, workshops and user adoption programmes
- Ability to assess and communicate ROI, benefits realisation and business value
- Experience with Power BI, reporting and performance measurement
- Comfortable working independently in a role focused on delivery, adoption and measurable outcomes
- Strong communication skills with the ability to translate technical concepts into practical business language
AI Transformation Manager in Swindon employer: Sanderson
At Sanderson, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Belfast. Our commitment to employee growth is evident through tailored development programmes and opportunities for advancement, ensuring that our team members thrive in their careers while enjoying competitive rewards and a strong focus on health and safety compliance. Join us to take ownership of impactful projects and be part of a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Transformation Manager in Swindon
✨Tap into Online Data Science Communities
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We think you need these skills to ace AI Transformation Manager in Swindon
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Sanderson, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Sanderson, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Sanderson’s attention and show the tangible impact of your work.
How to prepare for a job interview at Sanderson
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Sanderson.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Sanderson.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Sanderson.
