At a Glance
- Tasks: Lead cross-functional teams to design and deliver AI-powered solutions in a dynamic banking environment.
- Company: Join Capgemini, a global leader in AI and technology transformation.
- Benefits: Enjoy hybrid working, competitive salary, and extensive training opportunities.
- Other info: Be part of a diverse team committed to ethical business practices and employee wellbeing.
- Why this job: Make a real impact with cutting-edge AI technologies while growing your career.
- Qualifications: Strong knowledge of AI, data architecture, and experience in regulated environments.
The predicted salary is between 70000 - 90000 € per year.
We are seeking a Lead Data & AI Engineering Manager to lead cross-functional engineering teams in the design, build, and delivery of data-intensive platforms and AI-powered solutions supporting Balance Sheet Management (BSM). You will own end-to-end delivery across the data and AI lifecycle, ensuring solutions are scalable, secure, well-governed, and aligned to strategic business outcomes within a highly regulated banking environment. This role requires strong technical leadership, close collaboration with business and product stakeholders, and hands-on experience delivering advanced data and AI solutions at scale.
Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your Role:
- Lead cross-functional engineering teams to design, build, and deliver data-intensive platforms and AI-powered solutions aligned with strategic business priorities.
- Own end-to-end delivery across the data and AI lifecycle for Balance Sheet Management (BSM), from data ingestion and modelling to ML model development, deployment, and ongoing monitoring.
- Act as the AIPX Delivery Manager, leading the design and delivery of robust data pipelines and high-quality derived data products aligned with AIPX architecture and performance standards.
- Provide strong technical leadership across data architecture, cloud engineering, and AI/ML capabilities to ensure scalable, secure, and well-governed solutions.
- Collaborate closely with product owners, data teams, and business stakeholders to prioritise backlogs, manage risks and dependencies, and translate requirements into actionable technical plans.
- Establish and enforce engineering best practices, including coding standards, DevOps and MLOps pipelines, testing frameworks, and technical documentation.
- Drive innovation by evaluating emerging data and AI technologies, leading proofs of concept, and embedding Responsible AI principles across delivery.
- Work across multiple technology teams within the bank, contributing to large-scale application and platform development.
Your Skills:
- Core Technical Skills
- Strong knowledge of AI techniques and approaches, with hands-on experience applying AI in previous roles.
- Strong understanding of Generative AI models and LLMs, with the ability to select the right model for specific business use cases.
- Experience using AI tools and platforms to accelerate idea-to-value delivery.
- Strong technical background across: Data architecture and data engineering, Cloud engineering, AI / Machine Learning platforms.
- Proven experience delivering solutions in a highly regulated organisation.
- Strong knowledge of large-scale application development and working across multiple technology teams in a banking environment.
- Additional Skills
- Experience leading fast-paced delivery teams with close alignment to business functions.
- Knowledge of best-practice delivery and production support models.
- Experience establishing modern engineering practices across development teams.
- Knowledge of agentic workflow orchestration (advantageous).
- Knowledge of specification-driven development and modern AI-enabled engineering practices to support an automated SDLC (advantageous).
- Strong stakeholder management and communication skills.
We are a Disability Confident Employer: Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who declare they have a disability, and meet the minimum essential criteria for the role. Please opt in during the application process.
Make It Real (what does it mean for you):
- You’ll be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation.
- To help support wellbeing we have trained Mental Health Champions across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
- You will be empowered to explore, innovate, and progress.
- You will benefit from Capgemini’s learning for life mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
- You will be joining one of the World’s Most Ethical Companies, as recognised by Ethisphere for 13 consecutive years.
- We live our values by making ethical business choices every day.
Why you should consider Capgemini:
Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future.
By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.
About Capgemini:
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.
Delivery Manager AI – London employer: Recruit4Mum
Capgemini is an exceptional employer, offering a dynamic work culture that prioritises employee wellbeing and professional growth. With a commitment to innovation and ethical practices, employees benefit from extensive training opportunities, including access to 250,000 courses and certifications, while working in a hybrid environment that fosters collaboration and flexibility. Join a team recognised as one of the World’s Most Ethical Companies, where your contributions will help shape a sustainable and inclusive future.
StudySmarter Expert Advice🤫
We think this is how you could land Delivery Manager AI – London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works in AI or delivery management. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your projects, especially those related to AI and data engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to delivery management and AI. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your experience effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Capgemini.
We think you need these skills to ace Delivery Manager AI – London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Delivery Manager AI role. Highlight your technical leadership and experience in delivering data and AI solutions, as these are key to impressing us.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for this position. Be specific about your achievements and how they relate to the job description.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise in AI, data architecture, and cloud engineering. We want to see how you've applied these skills in real-world scenarios, especially in regulated environments.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves, and you'll find all the details you need to make your submission stand out!
How to prepare for a job interview at Recruit4Mum
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI techniques and Generative AI models. Be ready to discuss how you've applied these in previous roles, as well as how you would select the right model for specific business use cases.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience leading cross-functional teams. Discuss how you've managed risks, prioritised backlogs, and translated requirements into actionable plans, especially in a regulated environment.
✨Familiarise Yourself with Best Practices
Understand modern engineering practices, including DevOps and MLOps pipelines. Be ready to talk about how you've established coding standards and testing frameworks in past projects to ensure high-quality delivery.
✨Engage with Stakeholders
Demonstrate your strong communication skills by preparing to discuss how you've collaborated with product owners and business stakeholders. Share specific instances where your stakeholder management made a significant impact on project outcomes.
