McLaren Racing
Lead, Technology Transformation (12 Month FTC)

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Experience & Background
Essential
- Proven experience operating as a Business Analyst, Technology Architect, Technology Consultant, or Transformation Lead within complex, large-scale digital transformation programmes. [Lead, Tech...rk Boulter | Word]
- Strong experience across:
- Technology architecture and solution design
- Business process transformation
- Platform implementation and integration delivery
- Enterprise technology strategy and roadmap development
- Experience designing technology ecosystems that enable:
- Automation
- Data-driven decision-making
- AI-enabled capabilities and workflows
- Strong analytical, structured problem-solving, and systems-thinking capabilities.
- Demonstrated ability to translate business requirements into scalable technology solutions that deliver measurable operational outcomes.
Desirable
- Experience working alongside AI, data science, or advanced analytics teams to deliver business transformation initiatives.
- Knowledge of:
- Enterprise data platforms
- Identity resolution and customer data management
- Marketing technology (MarTech) ecosystems
- API-first and integration-led architecture approaches
- Experience operating within complex, multi-system environments where integration, scalability, and adoption are critical.
- Exposure to sports, media, entertainment, or other high-performance industries would be advantageous
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Experience & Background
Essential
- Strong experience applying AI/ML, automation, or advanced analytics in business environments
- Background in digital or technology transformation (consulting or in-house)
- Experience translating business problems into data/AI-driven solutions
- Strong understanding of:
- Data platforms and pipelines
- AI/ML capabilities and limitations
- Workflow and system integration
- Experience working in complex, multi-system environments


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Desirable
- Experience in marketing, commercial, or customer-facing domains
- Exposure to:
- GenAI and Copilot-style tooling
- Personalisation and customer data platforms
- Content automation and optimisation
- Agentic AI
- Experience working alongside process transformation or operating model programmes
Capabilities & Behaviours
- Strong ability to bridge business, technology, and AI
- Commercial mindset—focused on value, not experimentation for its own sake
- Comfortable working in ambiguity and shaping direction
- Strong stakeholder influence across technical and non-technical teams
- Bias for action—focused on embedding AI into real workflows
- Collaborative approach within a multi-disciplinary transformation team
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location