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- Tasks: Lead the design of an AI-enabled data platform and drive impactful business insights.
- Company: A top global financial institution with a focus on diversity and collaboration.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Shape the future of data architecture in a dynamic and innovative environment.
- Qualifications: 7+ years in enterprise data platforms with expertise in data modelling and governance.
- Other info: Join a collaborative team dedicated to making a difference in the financial sector.
The predicted salary is between 48000 - 72000 £ per year.
A leading global financial institution is seeking a Senior Lead Data Architect to join their Client360 team in London. You will drive the architecture and development of an AI-enabled data platform, contributing to significant business insights.
The ideal candidate has over 7 years of experience in enterprise data platforms and significant expertise in data modeling and governance. A strong focus on diversity and collaboration is valued in this role.
Senior Lead Data Architect - AI-Enabled Platform, Client360 employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Lead Data Architect - AI-Enabled Platform, Client360
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with data architecture and AI platforms. This will help you stand out during interviews and showcase your expertise.
✨Tip Number 3
Practice makes perfect! Get ready for those tricky interview questions by doing mock interviews with friends or using online resources. The more comfortable you are, the better you'll perform.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Senior Lead Data Architect - AI-Enabled Platform, Client360
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your expertise in data modeling and governance, as well as any relevant projects you've worked on that align with AI-enabled platforms.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Senior Lead Data Architect role. Share your passion for data architecture and how your experience can contribute to our Client360 team. Don't forget to mention your commitment to diversity and collaboration!
Showcase Your Achievements: When detailing your work experience, focus on quantifiable achievements. Did you lead a project that improved data efficiency? Share those numbers! We love seeing how you've made an impact in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and it helps us keep track of your application. Plus, we want to see your enthusiasm for joining our team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of enterprise data platforms, especially in the context of AI. Be ready to discuss your past experiences with data modelling and governance, as these will be key topics during the interview.
✨Showcase Your Collaborative Spirit
Since this role values diversity and collaboration, prepare examples that highlight your ability to work effectively in teams. Think about times when you’ve successfully collaborated with others to drive a project forward or solve a complex problem.
✨Prepare for Technical Questions
Expect some technical questions related to data architecture and AI. Brush up on the latest trends and technologies in the field, and be ready to explain how you've applied them in your previous roles. This will show your depth of knowledge and passion for the subject.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that demonstrate your interest in the company and the role. Inquire about their current projects, challenges they face in data governance, or how they envision the future of their AI-enabled platform. This shows you’re not just interested in the job, but also in contributing to their success.
