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- Tasks: Lead the design and implementation of cutting-edge data infrastructure for AI-driven analytics.
- Company: Dynamic AI services company based in London, focused on innovation.
- Benefits: Competitive salary, equity, flexible working, and comprehensive health coverage.
- Why this job: Join a pioneering team and shape the future of AI analytics.
- Qualifications: Over 7 years of experience in data engineering and strong leadership skills.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A dynamic AI services company in London seeks a Senior Data Engineering Manager to lead the design and implementation of core data infrastructure. This pivotal role demands a leader who excels in engineering oversight and stakeholder communication, coupled with over 7 years of experience in data.
The company values innovation and offers a competitive salary, equity, and extensive benefits including flexible working arrangements and comprehensive health coverage.
Senior Data Platform Manager for AI-Driven Analytics employer: Intercom
Contact Detail:
Intercom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Platform Manager for AI-Driven Analytics
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data space. Attend meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website where you can highlight your projects and achievements in data engineering. This is your chance to shine and demonstrate how you can lead the design and implementation of core data infrastructure.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and leadership experience. Be ready to discuss how you've excelled in engineering oversight and stakeholder communication. We want you to feel confident and ready to impress!
✨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 and engaged with our company. Let’s get you that Senior Data Platform Manager role!
We think you need these skills to ace Senior Data Platform Manager for AI-Driven Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and leadership. We want to see how your skills align with the role of Senior Data Platform Manager, 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 AI-driven analytics and how your background makes you the perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Communication Skills: Since this role involves stakeholder communication, make sure to demonstrate your ability to convey complex ideas clearly. We love candidates who can bridge the gap between technical and non-technical audiences!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Intercom
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data engineering, especially those related to AI-driven analytics. Brush up on your knowledge of core data infrastructure and be ready to discuss how you've implemented similar systems in the past.
✨Showcase Your Leadership Skills
As a Senior Data Platform Manager, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've successfully managed projects and communicated with stakeholders. Highlight your experience in fostering innovation within your team.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving skills and understanding of data architecture. Review common data engineering challenges and think through how you would approach them. Practising with mock interviews can help you articulate your thought process clearly.
✨Emphasise Flexibility and Adaptability
The company values innovation, so be prepared to discuss how you've adapted to changes in technology or project requirements in the past. Share specific instances where your flexibility led to successful outcomes, showing that you can thrive in a dynamic environment.
