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- Tasks: Lead data strategies to ensure trusted customer data across all channels.
- Company: A top UK retailer committed to inclusivity and innovation.
- Benefits: Competitive salary, inclusive work culture, and excellent career development opportunities.
- Why this job: Shape the future of customer insights and make a real impact in retail.
- Qualifications: Expertise in customer data architecture and strong communication skills.
- Other info: Collaborative environment with a focus on personal growth and teamwork.
The predicted salary is between 43200 - 72000 £ per year.
A leading UK retailer is seeking a Customer Data Architect to drive data strategies and solutions that ensure trusted data across channels. The role requires expertise in Customer data architecture, and the ability to lead initiatives around identity resolution and master data management. Candidates should be effective communicators and collaborators. This position offers competitive benefits and a commitment to an inclusive work environment.
Customer Data Architect — Personalization & Insight Leader in London employer: MARKS&SPENCER
Contact Detail:
MARKS&SPENCER Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Data Architect — Personalization & Insight Leader in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or case studies showcasing your expertise in customer data architecture and identity resolution. We want to see how you’ve tackled challenges and delivered results.
✨Tip Number 3
Prepare for those interviews! Research the company and its data strategies. We suggest practising common interview questions and coming up with examples that highlight your collaboration and communication skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re committed to an inclusive work environment, and we want to see your unique perspective!
We think you need these skills to ace Customer Data Architect — Personalization & Insight Leader in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in customer data architecture and any relevant projects you've led. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data strategies and how you can contribute to our mission. We love seeing genuine enthusiasm for the role and the company.
Showcase Communication Skills: As effective communicators are key in this role, make sure your application reflects your ability to convey complex ideas clearly. Whether it’s through your CV or cover letter, we want to see how you can engage and collaborate with others.
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 the role. Plus, it’s super easy to do!
How to prepare for a job interview at MARKS&SPENCER
✨Know Your Data Inside Out
Make sure you’re well-versed in customer data architecture and the latest trends in identity resolution and master data management. Brush up on relevant case studies or projects you've worked on, as this will help you demonstrate your expertise during the interview.
✨Showcase Your Communication Skills
Since effective communication is key for this role, practice articulating complex data concepts in simple terms. Prepare examples of how you've successfully collaborated with cross-functional teams to drive data strategies, as this will highlight your ability to work well with others.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to customer data. Think through potential scenarios involving data integrity or channel integration, and be ready to discuss your thought process and solutions. This shows your analytical skills and strategic thinking.
✨Emphasise Inclusivity and Collaboration
Given the company’s commitment to an inclusive work environment, be prepared to discuss how you’ve fostered inclusivity in your previous roles. Share specific examples of how you’ve encouraged diverse perspectives in data initiatives, which will resonate well with their values.
