At a Glance
- Tasks: Lead AI transformation in a high-performance racing environment, driving innovation and measurable business value.
- Company: Join McLaren Racing, a pioneering team setting standards in sport and technology.
- Benefits: Enjoy hybrid working, private healthcare, gym access, and a vibrant workplace culture.
- Other info: Collaborative environment with opportunities for continuous improvement and career growth.
- Why this job: Be at the forefront of AI integration in racing, shaping the future of Commercial & Marketing.
- Qualifications: Experience in AI, machine learning, and business transformation is essential.
The predicted salary is between 80000 - 100000 £ per year.
At Mc Laren, our mission is to set the standard for high performance in sport.
And everyone, in every part of the team, has a role to play.
- So if you want to test your ideas with the world watching
- And measure your progress in milliseconds
- And play your part in racing history
You belong here. High performance starts with you.
Purpose of the Role
Mc Laren Racing is transforming its Commercial & Marketing operating model to become more data-driven, automated and AI-enabled.
As Lead, AI Transformation, you will define how AI is embedded across the future operating model, ensuring it is designed into processes, workflows and systems from the outset.
Working closely with Process Engineering and Technology Transformation teams, you will identify high-impact opportunities, shape practical use cases and drive the adoption of AI across workflows, decision making and automation.
This role sits at the intersection of business transformation, technology and operations, turning AI from concept into measurable business value.
Working alongside Process Engineering and Technology Transformation teams, you will ensure process, technology and AI capabilities come together to create a scalable, future-ready operating model.
Together, these teams will simplify ways of working, improve decision making, embed intelligent automation and deliver measurable improvements across Commercial & Marketing.
What You'll Do
- Define the role of AI within the future Commercial & Marketing operating model, ensuring alignment with business priorities and technology strategy.
- Develop and maintain an AI roadmap that identifies where AI can deliver the greatest impact through automation, efficiency, insight and improved decision making.
- Bring external perspective and best practice on emerging AI capabilities, trends and opportunities, championing AI as a strategic business enabler.
- Partner with Process Engineering teams to analyze end-to-end business processes and identify opportunities for AI across workflow automation, decision support, personalization, customer insight and content generation.
- Assess and prioritize AI opportunities based on business value, technical feasibility and organisational readiness.
- Translate business requirements into clearly defined AI use cases, including data requirements, expected outcomes, success measures and integration needs.
- Ensure AI use cases are practical, measurable and aligned to current and future technology architecture.
- Work closely with Technology Transformation teams to embed AI into platforms, systems and workflows rather than creating isolated point solutions.
- Define how AI capabilities interact with enterprise data platforms, identity frameworks, marketing technologies and operational tools.
- Support the translation of AI opportunities into delivery initiatives, working with internal teams, partners and vendors to validate and implement solutions.
- Drive AI adoption through user engagement, training, change management and workflow integration, ensuring solutions move beyond experimentation into operational use.
- Establish guardrails and standards for responsible AI, covering data usage, privacy, transparency, output quality and trust.
- Ensure alignment with wider Mc Laren AI governance, policies and standards.
- Build strong relationships across Commercial, Marketing, Technology and Transformation teams, translating complex AI concepts into clear business outcomes.
- Provide recommendations to senior stakeholders on AI investment priorities, adoption opportunities, risks and implementation approaches.
- What You'll Bring
Essential
- Proven experience applying AI, machine learning, automation or advanced analytics to solve business challenges and deliver measurable outcomes.
- Experience leading or supporting digital, technology or business transformation programmes.
- Strong track record of translating business problems into practical, data-driven and AI-enabled solutions.
- Strong understanding of AI and machine learning capabilities, opportunities and limitations.
- Experience working with data platforms, architectures, pipelines and systems integration.
- Understanding of workflow automation and operating within complex enterprise environments.
- Ability to balance strategic thinking with practical delivery, ensuring AI initiatives create tangible business value.
- Excellent stakeholder management, communication and influencing skills.
Desirable
- Experience within Commercial, Marketing, Customer or Fan Engagement environments.
- Experience supporting process transformation and operating model redesign initiatives.
- Exposure to Generative AI, intelligent automation, personalization technologies and customer data platforms.
- Familiarity with applying AI to improve customer experience, decision making and operational performance.
- Personal Attributes
- Able to bridge the gap between business stakeholders, technology teams and AI specialists.
- Commercially minded, focused on measurable business outcomes rather than technology for technology's sake.
- Comfortable operating in ambiguity and shaping future direction.
- Strong influencer with the ability to engage both technical and non-technical audiences.
- Pragmatic and delivery-focused, with a passion for embedding AI into real-world business processes.
- Excellent communicator who can simplify complex AI concepts into clear, actionable outcomes.
- Collaborative and effective within multi-disciplinary transformation teams.
- Curious, innovative and motivated by continuous improvement and high performance.
What can Mc Laren offer?
We constantly strive to be better tomorrow than we are today.
Our ambition is to be the most pioneering and exhilarating racing team in the world, and our collective task is to set the standards for high performance in sport.
We show up every day with energy and enthusiasm, ready to play our part.
We encourage and support diversity, equity and inclusion. We will actively promote a culture that values difference and eliminates discrimination in our workplace.
Mc Laren Racing is based at the iconic Mc Laren Technology Centre (MTC) near Woking. Here at Mc Laren, we offer hybrid working with 3 days a week based in the MTC.
Our state of the art, sustainable campus offers many facilities including a gym, restaurant and indoor and outdoor break out areas, as well as direct access to park and common land.
The MTC is connected to Woking mainline station via regular shuttle buses, from which London Waterloo is a 30 minute train ride.
We offer a comprehensive package of benefits including private healthcare, car schemes, life insurance and generous pension contributions.
Lead, AI Transformation (12 Month FTC) in Woking employer: Arrow McLaren IndyCar
McLaren Racing is an exceptional employer, offering a dynamic work environment at the iconic McLaren Technology Centre near Woking. With a strong focus on innovation and performance, employees benefit from hybrid working arrangements, state-of-the-art facilities, and a culture that champions diversity and inclusion. The company provides ample opportunities for professional growth, alongside a comprehensive benefits package that includes private healthcare and generous pension contributions, making it an ideal place for those seeking meaningful and rewarding employment in the fast-paced world of Formula 1.
StudySmarter Expert Advice🤫
We think this is how you could land Lead, AI Transformation (12 Month FTC) in Woking
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Arrow McLaren IndyCar before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Arrow McLaren IndyCar.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Arrow McLaren IndyCar.
We think you need these skills to ace Lead, AI Transformation (12 Month FTC) in Woking
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Arrow McLaren IndyCar, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Arrow McLaren IndyCar, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Arrow McLaren IndyCar’s attention and show the tangible impact of your work.
How to prepare for a job interview at Arrow McLaren IndyCar
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Arrow McLaren IndyCar.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Arrow McLaren IndyCar.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Arrow McLaren IndyCar.
