Head of Data & AI Platform Engineering

Head of Data & AI Platform Engineering

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
J.P. Morgan

At a Glance

  • Tasks: Lead the development of innovative Data and AI platforms to enhance digital experiences.
  • Company: Join J.P. Morgan, a leader in financial services with a focus on collaboration.
  • Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
  • Other info: Be part of a diverse team driving data-driven development at scale.
  • Why this job: Shape the future of digital banking with cutting-edge technology and a dynamic team.
  • Qualifications: Proven leadership experience and expertise in cloud technologies like Kubernetes and Kafka.

The predicted salary is between 80000 - 100000 £ per year.

J.P. MORGAN is seeking a Principal Software Engineer – Engineering Manager in Greater London to lead the Data and AI capabilities within the Accelerator Business. You will develop a multi-year strategy for a platform that enhances Chase's digital experiences. This role requires professional skills and promotes a culture valuing diversity and collaboration.

The ideal candidate has experience in leadership and cloud technologies like Kubernetes and Kafka, and is able to drive data-driven development at scale.

Head of Data & AI Platform Engineering employer: J.P. Morgan

J.P. MORGAN is an exceptional employer that fosters a dynamic work culture in Greater London, where innovation and collaboration thrive. Employees benefit from comprehensive growth opportunities, competitive compensation, and a commitment to diversity, making it an ideal environment for those looking to make a meaningful impact in the field of Data and AI. Join us to be part of a forward-thinking team that values your expertise and encourages professional development.

J.P. Morgan

Contact Details:

J.P. Morgan Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Head of Data & AI Platform Engineering

Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving cloud technologies like Kubernetes and Kafka. This gives potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by practising common questions and scenarios related to data-driven development. We recommend doing mock interviews with friends or using online platforms to boost your confidence.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Head of Data & AI Platform Engineering

Leadership
Cloud Technologies
Kubernetes
Kafka
Data-Driven Development
Strategic Planning
Collaboration

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your leadership experience and familiarity with cloud technologies like Kubernetes and Kafka, as these are key for the role.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for the Head of Data & AI Platform Engineering role. Share specific examples of how you've driven data-driven development and enhanced digital experiences in your previous roles.

Showcase Your Collaborative Spirit:Since we value diversity and collaboration, make sure to mention any experiences where you've successfully worked in diverse teams or led collaborative projects. This will show us you’re a great cultural fit!

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 J.P. Morgan

Know Your Tech Inside Out

Make sure you’re well-versed in cloud technologies like Kubernetes and Kafka. Brush up on your knowledge of how these tools can enhance data-driven development, as you'll likely be asked to discuss their applications in real-world scenarios.

Showcase Your Leadership Skills

Prepare examples that highlight your leadership experience. Think about times when you successfully led a team or project, especially in the context of developing strategies for tech platforms. This will demonstrate your ability to drive collaboration and innovation.

Understand J.P. Morgan's Culture

Familiarise yourself with J.P. Morgan’s values, particularly around diversity and collaboration. Be ready to discuss how you can contribute to this culture and promote an inclusive environment within the team.

Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving skills and strategic thinking. Practice articulating your thought process clearly, especially in relation to enhancing digital experiences through data and AI capabilities.