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- Tasks: Lead the design of data science and AI architectures for a major bank.
- Company: Join The Fuel Group, a consultancy driving innovation in financial services.
- Benefits: Enjoy a hybrid work model with opportunities for mentorship and collaboration.
- Why this job: Be a thought leader in AI solutions while shaping the future of banking technology.
- Qualifications: Experience in AI/ML, data architecture frameworks, and knowledge of data regulations required.
- Other info: Role requires on-site presence a few days a week; inside IR35.
The predicted salary is between 72000 - 108000 £ per year.
Lead Enterprise Architect (DS, ML and AI)
The Fuel Group Limited London, United Kingdom
Our consultancy client is looking for an experienced EA to help lead the definition of business and application architectures and roadmaps for data science and AI for a major high street bank. You’ll be defining the intentional architecture for your assigned scope to ensure that the current architecture being delivered by engineers best supports the enterprise and its long-term strategy and be recognized as a thought leader of architecture for data science and AI solutions and enterprise design in the Bank influencing business and technology teams.
You’ll be defining and communicating the current, resultant, and target state architecture for your enterprise solutions using data science & AI and ensuring that the architecture links to, and is informed by, their overall strategy and architecture, producing the architecture outcomes.
You will manage and mentor a team of specialists and senior data architects dedicated to supporting architectures for solutions using data science and AI, fostering a collaborative, high-performance culture that encourages innovation.
Tech-wise, you will have experience in AI/ML and Data Science solutions and patterns, with developing, data exploration, visualization, and statistical analysis technologies. You should have knowledge of the DS lifecycle, MLOps, model management, and automation, as well as data architecture frameworks (DAMA, DCAM, TOGAF, ARCHIMATE). Knowledge of data-related regulations such as GDPR, CCPA, PCI DSS, BCBS 239 and an understanding of neural networking, deep learning, and LLM architectures is also required.
You will need to be on-site a couple of days a week, and the role will be inside IR35.
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Lead Enterprise Architect (DS, ML and AI) | London, UK | Hybrid employer: The Fuel Group Limited
Contact Detail:
The Fuel Group Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Enterprise Architect (DS, ML and AI) | London, UK | Hybrid
✨Tip Number 1
Make sure to showcase your experience with AI/ML and Data Science solutions in your conversations. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your expertise and relevance to the role.
✨Tip Number 2
Familiarize yourself with the data architecture frameworks mentioned in the job description, such as DAMA, DCAM, TOGAF, and ARCHIMATE. Being able to discuss these frameworks confidently will show that you are well-prepared and knowledgeable about industry standards.
✨Tip Number 3
Prepare to discuss your approach to managing and mentoring teams. Think of examples where you've fostered a collaborative culture and encouraged innovation, as this is a key aspect of the role.
✨Tip Number 4
Stay updated on data-related regulations like GDPR and CCPA. Being able to articulate how these regulations impact data architecture and AI solutions will set you apart as a candidate who understands the broader implications of your work.
We think you need these skills to ace Lead Enterprise Architect (DS, ML and AI) | London, UK | Hybrid
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Lead Enterprise Architect position. Understand the key responsibilities, required skills, and the specific technologies mentioned, such as AI/ML and data architecture frameworks.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, AI, and enterprise architecture. Emphasize your leadership skills and any experience managing teams or mentoring others, as this is a crucial aspect of the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and AI. Discuss how your background aligns with the company's goals and how you can contribute to their long-term strategy. Mention specific projects or achievements that demonstrate your expertise.
Highlight Relevant Certifications: If you have certifications related to data science, AI, or enterprise architecture (like TOGAF or DAMA), make sure to include them in your application. This will strengthen your candidacy and show your commitment to professional development.
How to prepare for a job interview at The Fuel Group Limited
✨Showcase Your Thought Leadership
As a Lead Enterprise Architect, it's crucial to demonstrate your expertise in data science and AI. Prepare to discuss your previous experiences where you influenced architecture decisions and how you can bring that thought leadership to the consultancy client.
✨Understand the Business Context
Make sure you have a solid grasp of the banking sector and how data science and AI can drive business value. Be ready to articulate how your architectural decisions align with the bank's long-term strategy and overall architecture.
✨Highlight Your Team Management Skills
Since you'll be managing and mentoring a team, prepare examples of how you've fostered a collaborative culture in past roles. Discuss your approach to leading high-performance teams and encouraging innovation within your group.
✨Be Prepared for Technical Questions
Expect to dive deep into technical discussions about AI/ML solutions, data architecture frameworks, and regulations like GDPR. Brush up on your knowledge of the data science lifecycle and be ready to explain complex concepts clearly.
