At a Glance
- Tasks: Drive AI growth and transformation for top clients while collaborating with industry leaders.
- Company: Join Capgemini, a global leader in tech transformation and innovation.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth and development.
- Other info: Work from various locations and engage with top-tier clients and technologies.
- Why this job: Make a real impact by shaping the future of AI in leading organisations.
- Qualifications: Experience in consulting, business development, or AI leadership roles is essential.
The predicted salary is between 81000 - 99000 £ per year.
AI Growth Leader - London
Reference Code
- -en_GBContract Type: Permanent
- Professional Communities: Data & AI
THE ROLE CAN BE BASED
UK, Germany, Spain or Italy.
About the job you are considering
Capgemini's Insights & Data practice helps leading organizations harness data, AI, and analytics to drive innovation, efficiency, and transformation.
As part of the Scale Agentic Squad, the AI Growth Leader will play a critical role in accelerating the adoption of Agentic AI and Generative AI across Capgemini's most strategic clients.
Working closely with an AI Solution Leader in a "two-in-a-box" model, you will combine business strategy, executive stakeholder engagement, and commercial leadership to shape transformational AI opportunities and drive growth across strategic accounts.
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
As an AI Growth Leader, you will be responsible for driving the commercial growth and market adoption of Capgemini's AI, Generative AI, and Agentic AI offerings across strategic client accounts.
Working alongside an AI Solution Leader, you will identify business opportunities, engage executive stakeholders, and help clients unlock tangible business value through AI-led transformation.
- Develop and execute account-based growth strategies focused on AI, Generative AI, Agentic AI, Data & Analytics, and Digital Transformation opportunities.
- Build and maintain trusted relationships with C-suite executives, business leaders, and technology stakeholders across strategic client accounts.
- Identify, qualify, and shape high-value AI transformation opportunities from initial client discussions through to contract signature.
- Lead executive workshops and discovery sessions to understand client challenges, define business outcomes, and establish AI roadmaps.
- Develop compelling business cases, value propositions, and investment justifications that demonstrate measurable business impact.
- Partner with the AI Solution Leader to create differentiated solutions that combine Capgemini capabilities, partner technologies, and industry expertise.
- Support proposal development, executive presentations, commercial negotiations, and strategic deal pursuits.
- Drive AI bookings, revenue growth, pipeline generation, and sales conversion across assigned accounts.
- Collaborate with hyperscaler and ecosystem partners including Microsoft, Google, AWS, Databricks, Snowflake, Open AI, and Anthropic to create joint growth opportunities.
- Act as a senior advisor to clients on AI strategy, operating models, workforce transformation, governance, and value realization.
- Support clients in scaling AI initiatives from proof of concept to enterprise-wide adoption.
- Provide thought leadership on market trends, emerging AI technologies, competitive developments, and industry best practices.
- Mentor account teams and support the development of AI sales and growth capabilities across the organization.
- Represent Capgemini at industry events, executive forums, client roundtables, and partner engagements.
- Your Skills and Experience
- Significant experience in consulting, business development, technology services, digital transformation, or AI-related leadership roles.
- Proven track record of winning and growing large consulting or technology engagements.
- Demonstrated success leading complex, multi-stakeholder sales pursuits and transformation programmes.
- Experience developing C-level relationships and influencing senior business and technology decision makers.
- Strong understanding of enterprise operating models, transformation programmes, and value realization frameworks.
- Experience working in global and matrixed organizations across multiple geographies.
- track record of driving revenue growth, pipeline generation, and strategic account expansion.
- Business & Industry Knowledge
- Strong understanding of Artificial Intelligence, Generative AI, Agentic AI, Data & Analytics, Cloud, and Digital Transformation.
- Ability to connect technology capabilities with business outcomes and measurable value.
- Understanding of AI adoption challenges including governance, security, responsible AI, and organizational change.
- Knowledge of key industry trends across Financial Services, Consumer Products, Manufacturing, Energy & Utilities, Public Sector, Telecommunications, and Life Sciences.
- Familiarity with hyperscaler and ecosystem partner offerings, including Microsoft Azure, AWS, Google Cloud, Databricks, Snowflake, Open AI, Anthropic, and Mistral AI.
- Key Competencies
- Executive stakeholder management and influencing skills.
- Strategic thinking and market development.
- Consultative and value-led selling.
- Commercial and financial acumen.
- Business case development and ROI modelling.
- Strong communication, presentation, and storytelling skills.
- Relationship building and negotiation.
- Growth mindset with an entrepreneurial approach.
- Ability to operate effectively in fast-paced and ambiguous environments.
- Collaborative leadership across sales, delivery, consulting, and partner teams.
- 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 a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.
It is a responsible and diverse group of 340,000 team members in more than 50 countries.
With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs.
It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
The Group reported 2023 global revenues of 22.5 billion. #Get The Future You Want|
AI Growth Leader - 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 Leader - 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 Leader - 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 Leader - 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 Leader - 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.
