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- Tasks: Lead teams to build data pipelines and embed AI into banking processes.
- Company: A leading digital bank in London with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of digital banking with cutting-edge AI technology.
- Qualifications: Extensive experience in data engineering and strong leadership skills.
- Other info: Join a dynamic team driving cloud-native platforms.
The predicted salary is between 72000 - 108000 £ per year.
A leading digital bank in London seeks a Head of Data and AI Engineering to drive the delivery of cloud-native platforms and AI automation. This hybrid role involves leading teams in building data pipelines, ensuring quality outcomes, and embedding AI into banking processes.
Ideal candidates will have extensive experience in data engineering, strong leadership skills, and a deep understanding of Google Cloud. Join us to shape the future of human digital banking.
Chief Data & AI Engineering Leader in London employer: Cynergy Bank Limited
Contact Detail:
Cynergy Bank Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Chief Data & AI Engineering Leader in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data and AI roles. A friendly chat can open doors and give you insights that might just land you that dream job.
✨Tip Number 2
Showcase your skills! Create a portfolio or a personal project that highlights your expertise in data engineering and AI. This is your chance to demonstrate what you can bring to the table beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've successfully led teams and delivered quality outcomes in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help shape the future of digital banking. Your next big opportunity could be just a click away!
We think you need these skills to ace Chief Data & AI Engineering Leader in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Chief Data & AI Engineering Leader role. Highlight your experience in data engineering and leadership, especially in cloud-native environments.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've driven AI automation and built data pipelines in previous positions.
Showcase Your Google Cloud Expertise: Since we’re looking for someone with a deep understanding of Google Cloud, be sure to mention any relevant certifications or projects that demonstrate your expertise in this area.
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 don’t miss out on any important updates during the process.
How to prepare for a job interview at Cynergy Bank Limited
✨Know Your Data Inside Out
Make sure you’re well-versed in data engineering concepts and the specific technologies mentioned in the job description, especially Google Cloud. Brush up on your knowledge of cloud-native platforms and be ready to discuss how you've successfully built data pipelines in the past.
✨Showcase Your Leadership Skills
As a Chief Data & AI Engineering Leader, your leadership experience is crucial. Prepare examples of how you've led teams to success, particularly in delivering quality outcomes. Think about challenges you've faced and how you motivated your team to overcome them.
✨Emphasise AI Integration Experience
Since the role involves embedding AI into banking processes, be prepared to discuss your experience with AI automation. Share specific projects where you've implemented AI solutions and the impact they had on the business. This will demonstrate your ability to drive innovation.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s vision for AI in banking and how they see the role evolving. This shows your genuine interest in shaping the future of digital banking and helps you assess if the company aligns with your career goals.
