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- Tasks: Manage client relationships and drive growth in Data & AI solutions.
- Company: Global technology solutions provider with a focus on innovation.
- Benefits: Competitive compensation and opportunities for professional development.
- Why this job: Become a trusted advisor and make a real impact in tech.
- Qualifications: 3+ years in technology service roles and strong client partnership skills.
- Other info: Based in Greater London with a dynamic work environment.
The predicted salary is between 43200 - 72000 £ per year.
A global technology solutions provider is seeking a Client Delivery Lead (CDL) to manage client relationships and drive account growth. In this senior role, you will act as a trusted advisor and ensure successful delivery of solutions focusing on Data & AI engagements.
The ideal candidate will have over 3 years of experience in relevant technology service roles and proven success in client partnerships. This full-time position is based in Greater London and offers competitive compensation.
Senior Client Delivery Lead, Data & AI employer: Telefónica Tech (EN)
Contact Detail:
Telefónica Tech (EN) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Client Delivery Lead, Data & AI
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those involved in Data & AI. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your success in client partnerships and delivery of tech solutions. This will help you stand out as a trusted advisor.
✨Tip Number 3
Practice your pitch! When you get that interview, be ready to discuss how you’ve driven account growth in previous roles. We want to hear about your strategies and successes!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Client Delivery Lead, Data & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in client delivery and technology services. We want to see how your background aligns with the Data & AI focus of the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Client Delivery Lead position. Share specific examples of how you've successfully managed client relationships and driven account growth.
Showcase Your Soft Skills: In this role, being a trusted advisor is key. We’re looking for candidates who can communicate effectively and build strong relationships. Make sure to highlight these skills in your application – they’re just as important as your technical expertise!
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 shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Telefónica Tech (EN)
✨Know Your Data & AI Inside Out
Make sure you brush up on the latest trends and technologies in Data & AI. Be prepared to discuss specific projects you've worked on and how they relate to the role. This shows that you're not just familiar with the field, but that you're genuinely passionate about it.
✨Showcase Your Client Relationship Skills
Since this role focuses heavily on managing client relationships, think of examples where you've successfully built partnerships or resolved conflicts. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your achievements.
✨Research the Company Thoroughly
Dive deep into the company's mission, values, and recent projects. Understanding their approach to technology solutions will help you tailor your responses and demonstrate that you're a great fit for their culture and goals.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so come armed with insightful questions about the company’s strategy in Data & AI and how they measure success in client delivery. This not only shows your interest but also helps you gauge if the company aligns with your career aspirations.
