At a Glance
- Tasks: Lead AI transformation initiatives and develop innovative AI solutions for global clients.
- Company: Capgemini, a leader in AI-powered business transformation.
- Benefits: Diverse work environment, career growth, and opportunities to innovate with cutting-edge technology.
- Other info: Join a diverse team of innovators and industry experts.
- Why this job: Shape the future of AI while making a real impact on businesses worldwide.
- Qualifications: Degree in tech-related field and strong understanding of AI/ML concepts.
The predicted salary is between 81000 - 99000 £ per year.
AI Growth Lead - London
Reference Code
- -en_GBContract Type: Permanent
- Professional Communities: Data & AI
About the job you are considering
Capgemini's Global Insights & Data business is accelerating the next generation of AI-led enterprise transformation.
As organizations move beyond AI experimentation into scaled adoption, we are seeking an AI Growth Lead to shape, lead, and grow our global AI transformation capabilities.
This is a high-impact leadership role that combines strategic vision, technology leadership, enterprise transformation expertise, and hands-on AI innovation.
You will be responsible for defining and scaling Capgemini's AI solutions portfolio, leading global client engagements, driving Cloud-First and AI-First transformation strategies, and helping enterprises embed AI into their operating models, workforce, and business processes.
You will act as a trusted advisor to C-level executives, industry leaders, hyperscaler partners, and internal stakeholders, shaping how organizations leverage Agentic AI, Generative AI, Cloud Platforms, and intelligent automation to unlock measurable business value.
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.
Your Role
- AI Strategy & Business Transformation
- Partner with business leaders to identify, prioritize, and develop high-value AI and Generative AI use cases.
- Translate business challenges into scalable AI solution roadmaps and implementation plans.
- Drive AI innovation and support enterprise-wide digital transformation initiatives.
- Develop business cases, success metrics, and value realization frameworks for AI investments.
- Solution Architecture & Delivery
- Lead end-to-end AI solution design, development, deployment, and adoption.
- Define solution architecture leveraging machine learning, Gen AI, Copilot, automation, cloud, and data platforms.
- Ensure solutions align with enterprise architecture, security, compliance, and governance standards.
- Oversee proof-of-concepts, pilots, and production deployments.
- AI Governance & Responsible AI
- Promote responsible AI practices, including fairness, transparency, privacy, security, and regulatory compliance.
- Establish AI governance frameworks, standards, and best practices.
- Ensure ethical and compliant use of enterprise and customer data.
- Leadership & Team Development
- Lead cross-functional teams consisting of AI engineers, data scientists, architects, and business analysts.
- Mentor team members and foster a culture of innovation, collaboration, and continuous learning.
- Drive AI capability development and organizational readiness.
- Your Skills and Experience
- Bachelors degree in computer science, Data Science, Engineering, Information Technology, or related field.
- Strong understanding of AI/ML concepts, Large Language Models (LLMs), Gen AI platforms, and intelligent automation technologies.
- Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
- Strong problem-solving, analytical, and strategic thinking skills.
- AI/Cloud certifications (Azure AI Engineer, Azure Solutions Architect, AWS AI/ML, Google Cloud AI, etc.).
- Key Competencies
- AI Strategy & Vision, articulation abilities
- Solution Architecture, solutioning approach, client communication
- Generative AI & LLMs, SLMs, Industry trends, and AI project delivery expertise
- Business Transformation, Stakeholder Management, Executive Communication
- Data & Analytics, Responsible AI Governance
- Leadership & Team Development
- Success Measures
- Delivery of measurable business value from AI initiatives.
- Increased AI adoption and user engagement across the clients organization.
- Successful deployment of scalable, secure, and compliant AI solutions.
- Why you should consider Capgemini
Growing clients businesses while building a more sustainable, more inclusive future is a tough ask.
When you join Capgemini, youll join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts.
We find new ways technology can help us reimagine whats possible.
Its why, together, we seek out opportunities that will transform the worlds leading businesses, and its how youll 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, youll build the skills you want.
Youll 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 over 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.
The Group reported 2025 global revenues of 22.5 billion.
Make it real |
AI Growth Lead - London employer: Capgemini
Capgemini is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a hybrid working model, employees enjoy the flexibility of blending office, client site, and home working, while also benefiting from extensive growth opportunities and professional development within the Capital Markets sector. Join us to be part of a team that values governance excellence and empowers you to make a meaningful impact in complex programme environments.
StudySmarter Expert Advice🤫
We think this is how you could land AI Growth Lead - London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Capgemini!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Growth Lead - London at Capgemini.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Capgemini.
✨Apply Directly through Our Website
When you find a suitable opening like AI Growth Lead - London at Capgemini, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Growth Lead - London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Capgemini, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Capgemini. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Capgemini
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Capgemini!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
