At a Glance
- Tasks: Lead AI projects and collaborate with diverse teams to innovate banking solutions.
- Company: Join Deloitte's cutting-edge AI & Data Financial Services team.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with mentorship opportunities and career advancement in a collaborative environment.
- Why this job: Make a real impact in the financial industry with advanced AI technologies.
- Qualifications: Experience in AI engineering, Python, SQL, and strong communication skills.
The predicted salary is between 70000 - 90000 £ per year.
Overview
Deloitte's AI & Data Financial Services team focuses on developing AI solutions for the financial industry. The Manager role supports banking clients by delivering innovative solutions and driving continuous improvement.
Responsibilities
- Supporting clients and Deloitte AI leads in translating vision into AI architecture strategy and roadmap.
- Leading technical squads on Data & AI projects, AI prototyping, and experimentation sprints.
- Collaborating with AI Engineers, Data Scientists, Business teams, MLOps/LLMOps engineers, and various architects.
- Owning technical decision‑making activities, including open‑source vs COTS product choices, AI deployment patterns, integration patterns, and design decisions.
- Working with security and risk leaders to mitigate AI risks, ensuring ethical AI implementation and regulatory compliance.
- Preparing technical review boards and design authorities, ensuring compliance with data privacy, security and regulatory requirements.
- Building strong client relationships.
- Developing project proposals, technology business‑case documents, and estimating ROI of AI implementations.
- Contributing to internal AI technical training pathways and mentoring junior colleagues.
Qualifications
- Software/data engineering with proven experience in applied AI engineering, using Python and SQL.
- Experience in ML engineering and building API‑enabled backends such as FastAPI is preferred.
- Experience with LLM fundamentals: prompt engineering, fine‑tuning, embedding models, RAG patterns and evaluation frameworks for agentic systems.
- Comfortable with CI/CD tooling and ensuring good practices across the delivery team.
- Knowledge of MLOps/LLMOps is a plus.
- Track record delivering agentic AI solutions, managing scope, and estimating build effort.
- Proficient in software delivery methodologies: Agile/SaFe, Extreme Programming, Jira, Confluence, Linear, Monday.
- Experience in the Financial Services industry, primarily the Banking sector.
- Experience with at least one vector database (e.g., Pinecone), an agent framework (LangChain, LangGraph, Agent Development Kit), and MCP.
- Strong understanding of modern data architectures and ability to identify technical and delivery risks.
- Experience with at least one hyperscaler stack, preferably with certification (AWS, Azure, GCP, Databricks).
- Excellent communication, stakeholder‑management, and collaboration skills; works effectively with multidisciplinary teams.
- Problem‑solving mindset and ability to work independently.
- Comfortable writing technical papers and AI business‑case documents.
Banking AI Scaling & Transformation Manager employer: Hm Revenue & Customs (Hmrc)
Deloitte is an exceptional employer for the Banking AI Scaling & Transformation Manager role, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from extensive professional development opportunities, including mentoring and technical training pathways, while working in a cutting-edge environment focused on ethical AI implementation within the financial services sector. Located in a vibrant city, Deloitte provides a supportive atmosphere where diverse teams come together to drive meaningful change in the banking industry.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Banking AI Scaling & Transformation Manager
✨Tip Number 1
Network like a pro! Reach out to folks in the banking and AI sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about sliding into DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to banking. Use GitHub or a personal website to highlight your work with Python, SQL, and any cool AI solutions you've developed. This will make you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex AI concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies. Mock interviews with friends can help you nail this!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly. So, what are you waiting for? Get applying!
We think you need these skills to ace Banking AI Scaling & Transformation Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Banking AI Scaling & Transformation Manager. Highlight your experience in AI engineering, Python, and SQL, and don’t forget to mention any relevant projects you've led or contributed to.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in the banking sector and how your skills align with Deloitte's vision. Be sure to mention your experience with MLOps and your problem-solving mindset.
Showcase Your Technical Skills:In your application, be specific about your technical expertise. Mention your familiarity with CI/CD tooling, vector databases, and any certifications you hold. This will help us see how you can contribute to our innovative solutions.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI solutions, especially in the banking sector. Be ready to discuss specific projects you've worked on, particularly those involving Python, SQL, and ML engineering. This will show that you can translate vision into actionable strategies.
✨Showcase Your Collaboration Skills
Since this role involves working with various teams, be prepared to share examples of how you've successfully collaborated with AI engineers, data scientists, and business teams. Highlight your experience in leading technical squads and how you’ve built strong client relationships.
✨Be Ready for Technical Decision-Making
Expect questions about your approach to technical decision-making, such as choosing between open-source and COTS products. Have a few examples ready where you’ve made these decisions and explain your thought process behind them.
✨Demonstrate Your Problem-Solving Mindset
Prepare to discuss challenges you've faced in previous roles and how you tackled them. This could include managing scope, estimating build effort, or mitigating risks in AI implementations. Showing a proactive problem-solving attitude will impress your interviewers.
