At a Glance
- Tasks: Lead AI adoption and automation initiatives to enhance workplace productivity.
- Company: Join a nationally recognised organisation at the forefront of AI transformation.
- Benefits: Enjoy hybrid working, excellent pension, and a generous holiday package.
- Other info: Genuine autonomy to drive change and build a culture of AI integration.
- Why this job: Shape the AI roadmap and influence real business transformation.
- Qualifications: Experience in AI or digital transformation projects; passion for accessible technology.
The predicted salary is between 70000 - 85000 £ per year.
Ready to shape how an entire organisation adopts AI? Peaple Talent are partnering with a nationally recognised organisation to recruit an
AI Transformation Manager . This is a fantastic opportunity to lead the adoption of AI, automation and digital workplace technologies that genuinely improve the way people work.
The role
This isn't a hands-on AI engineering position.
It's about identifying where AI can create real business value, bringing stakeholders on the journey and delivering practical solutions that improve productivity and streamline processes.
Working across Microsoft Copilot, Power Automate and wider Generative AI technologies, you'll become the driving force behind AI adoption across the organisation.
You'll be
- Leading AI and automation initiatives across the business.
- Working with stakeholders to identify opportunities for smarter ways of working.
- Delivering AI solutions, governance and user adoption.
- Measuring the impact and value of AI investment.
One of the biggest attractions of this role is the opportunity to shape the AI roadmap rather than simply inherit one.
You'll influence strategy, champion responsible AI adoption and help build a culture where AI becomes part of everyday working.
About you
- You'll have experience delivering AI, automation or digital transformation projects
- A passion for making technology accessible
- Experience with Microsoft Copilot, Power Platform, Chat GPT, Claude, Gemini or similar AI technologies would be highly beneficial.
What's on offer?
- Hybrid and flexible working
- Excellent pension and holiday package
- The opportunity to shape enterprise-wide AI strategy
- Genuine autonomy to influence business transformation
- #J-18808-Ljbffr
AI Transformation Manager in Swindon employer: Peaple Talent
Join a dynamic and innovative organisation in the UK that prioritises employee growth and development, offering a collaborative work culture where your contributions are valued. As an IP Engineering Lead, you will benefit from a supportive environment that encourages technical excellence and leadership, with ample opportunities to shape engineering standards and advance your career in the rapidly evolving field of network services.
StudySmarter Expert Advice🤫
We think this is how you could land AI Transformation Manager in Swindon
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We think you need these skills to ace AI Transformation Manager in Swindon
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Peaple Talent. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
