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- Tasks: Lead data architecture for AI-driven projects and ensure top-notch data quality.
- Company: Premier financial services provider focused on innovation and stability.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Shape the future of finance with cutting-edge AI technology and impactful projects.
- Qualifications: 10+ years in data architecture with expertise in AI/ML applications.
- Other info: Join a diverse team committed to excellence and innovation.
The predicted salary is between 80000 - 100000 £ per year.
A premier financial services provider is seeking a Senior Data Architect to lead the data architecture for their Active Data Layer programme. This role involves defining data flows, ensuring data quality and governance, and enabling AI capabilities.
The ideal candidate has over 10 years of experience in data architecture, especially with AI/ML applications, and deep knowledge of modern data platforms.
Join a company committed to innovation and financial stability, with a diverse and inclusive culture.
Senior Data Architect — AI-Driven Risk Intelligence in Nottingham employer: LSEG
Contact Detail:
LSEG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Architect — AI-Driven Risk Intelligence in Nottingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services and data architecture space. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your experience with AI/ML applications and modern data platforms. We want to see how you've tackled challenges and delivered results in your previous roles.
✨Tip Number 3
Ace the interview! Research the company’s culture and values, and be ready to discuss how your skills align with their mission. We’re all about innovation and inclusivity, so let your personality shine through!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re excited to see how you can contribute to our Active Data Layer programme and help us drive AI capabilities forward.
We think you need these skills to ace Senior Data Architect — AI-Driven Risk Intelligence in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data architecture and AI/ML applications. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data architecture and how you can contribute to our Active Data Layer programme. Let us know what excites you about working with us!
Showcase Your Achievements: When detailing your experience, focus on specific achievements that demonstrate your expertise in data quality, governance, and modern data platforms. We love numbers, so if you can quantify your successes, even better!
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 LSEG
✨Know Your Data Inside Out
Make sure you’re well-versed in data architecture principles, especially as they relate to AI and ML. Brush up on your knowledge of modern data platforms and be ready to discuss how you've implemented data flows and governance in past roles.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data architecture and how you overcame them. This could involve discussing a project where you improved data quality or enabled AI capabilities—be detailed about your thought process and the impact of your solutions.
✨Understand the Company’s Vision
Research the financial services provider and their Active Data Layer programme. Familiarise yourself with their commitment to innovation and stability, and think about how your experience aligns with their goals. This will help you tailor your responses and show genuine interest.
✨Emphasise Collaboration and Inclusion
Given the company’s focus on a diverse and inclusive culture, be prepared to discuss how you’ve worked in teams and contributed to a positive work environment. Highlight any experiences where you’ve collaborated across departments or mentored others in data practices.