Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a high-performing engineering team and develop scalable data pipelines.
- Company: A leading global investment firm with a focus on innovation.
- Benefits: Competitive salary, mentorship opportunities, and involvement in AI projects.
- Why this job: Join a dynamic team and shape the future of data architecture.
- Qualifications: 7+ years in software engineering with full stack expertise.
- Other info: Collaborative environment with great potential for career advancement.
The predicted salary is between 54000 - 84000 £ per year.
A leading global investment firm is seeking a VP, Engineer to lead the Orion data team. This role focuses on managing a high-performing engineering pod, ensuring robust data architecture that aligns with business needs. The ideal candidate will have over 7 years of experience in software engineering and strong technical skills across the full stack, alongside excellent communication abilities.
Responsibilities include:
- Developing scalable data pipelines
- Mentoring team members in a collaborative environment
Opportunities for AI projects are available.
VP, Data Platform & AI Engineering employer: LGBT Great
Contact Detail:
LGBT Great Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP, Data Platform & AI Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the hunt for a VP role. A personal recommendation can go a long way in landing that interview.
✨Tip Number 2
Showcase your skills! Prepare a portfolio or case studies that highlight your experience in data architecture and AI projects. This will give you an edge and demonstrate your hands-on expertise.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by rehearsing common questions related to engineering leadership and data management. We can help you with mock interviews to boost your confidence.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes put you ahead of the competition. Don’t miss out on your dream job!
We think you need these skills to ace VP, Data Platform & AI Engineering
Some tips for your application 🫡
Showcase Your Experience: Make sure to highlight your 7+ years of experience in software engineering. We want to see how your background aligns with the role, so don’t hold back on those technical skills and projects you've led!
Communicate Clearly: Since excellent communication is key for this role, ensure your application reflects that. Use clear and concise language to convey your ideas and experiences, just like you would in a team meeting.
Tailor Your Application: Take a moment to customise your application for the VP, Data Platform & AI Engineering position. We love seeing candidates who understand our needs and can articulate how they can contribute to our goals.
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 with the Orion data team!
How to prepare for a job interview at LGBT Great
✨Know Your Tech Inside Out
Make sure you brush up on your full stack knowledge. Be ready to discuss your experience with data architecture and scalable data pipelines. They’ll want to hear about specific projects you've worked on, so have some examples at the ready.
✨Showcase Your Leadership Skills
As a VP, you'll be expected to lead a high-performing team. Prepare to talk about your mentoring style and how you've successfully managed teams in the past. Think of instances where you’ve fostered collaboration and innovation within your team.
✨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice articulating complex technical concepts in a way that’s easy to understand. You might be asked to explain your thought process during problem-solving, so clarity is crucial.
✨Be Ready for AI Discussions
Since there are opportunities for AI projects, brush up on current trends and technologies in AI. Be prepared to discuss how you can integrate AI into data engineering processes and any relevant experience you have in this area.
