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- Tasks: Lead the adoption of Data & AI initiatives and design impactful training for colleagues.
- Company: A leading retail company driving transformation in the industry.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Join an ambitious team and make a real difference in retail innovation.
- Qualifications: Strong stakeholder management and communication skills required.
The predicted salary is between 60000 - 80000 £ per year.
A leading retail company is seeking a Change Manager specializing in Data & AI initiatives. Responsibilities include managing end-to-end adoption, conducting readiness assessments, and designing training for colleagues. Strong stakeholder management and communication skills are crucial. The role is based in the United Kingdom and offers a hybrid working model. Join to be part of an ambitious team driving transformation in retail.
Data & AI Adoption Lead — End-to-End Change employer: Marks & Spencer
Contact Detail:
Marks & Spencer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Adoption Lead — End-to-End Change
✨Tip Number 1
Network like a pro! Reach out to people in the retail and AI sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there. You never know who might have a lead on that perfect job!
✨Tip Number 2
Prepare for interviews by practising common questions related to change management and data adoption. Use the STAR method to structure your answers, showcasing your experience in managing end-to-end adoption and stakeholder engagement.
✨Tip Number 3
Showcase your skills through real-life examples. When discussing your experience, highlight specific projects where you successfully led change initiatives or designed training programmes. This will help you stand out as a candidate who can drive transformation.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, it’s a great way to ensure your application gets seen by the right people in our ambitious team.
We think you need these skills to ace Data & AI Adoption Lead — End-to-End Change
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Data & AI initiatives. We want to see how you've managed change and engaged stakeholders in previous roles, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about driving transformation in retail and how your skills align with the responsibilities of the Change Manager role.
Showcase Your Communication Skills: Since strong communication is key for this role, make sure your application reflects that. Use clear, concise language and structure your application well to demonstrate your ability to convey information effectively.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our ambitious team!
How to prepare for a job interview at Marks & Spencer
✨Know Your Data & AI Stuff
Make sure you brush up on the latest trends and technologies in Data and AI. Be ready to discuss how these can be applied in a retail context, as this will show your understanding of the role and its impact on the business.
✨Showcase Your Change Management Skills
Prepare examples from your past experiences where you've successfully managed change initiatives. Highlight your approach to conducting readiness assessments and designing training programmes, as these are key responsibilities for the role.
✨Stakeholder Management is Key
Think about how you’ve engaged with different stakeholders in previous roles. Be ready to share specific strategies you used to communicate effectively and manage expectations, as strong stakeholder management is crucial for this position.
✨Embrace the Hybrid Model
Since the role offers a hybrid working model, be prepared to discuss how you can effectively collaborate with teams both in-person and remotely. Share any tools or methods you use to stay connected and productive in a flexible work environment.