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AI Transformation Leader

How your CV stacks up
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Core Accountabilities
Revenue & Growth
- Originate and close large AI transformation programmes (multi-year, multi-function)
- Build and maintain a robust AI pipeline across EMEA
- Deliver profitable AI-led engagements with clear commercial outcomes
- Partner with market leaders to convert demand into revenue
Client Transformation
Lead end-to-end AI transformation engagements across:
- Pricing optimisation
- Underwriting decision support
- Claims automation and triage
- Reserving and capital monitoring
- Ensure AI is embedded into day-to-day client operations — not isolated pilots
- Act as a trusted advisor to C-suite clients on AI strategy and execution
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.
Integration with Propositions
Embed AI into all core propositions:
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Pricing
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Underwriting
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Claims
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Reserving
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Capital
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Establish and lead AI champions within each practice
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Ensure every major client engagement is AI-enabled by design
Go-to-Market Leadership
- Define and lead the firm’s AI narrative in insurance
- Develop flagship use cases that anchor client conversations
- Equip colleagues and client executives with practical AI sales tools and propositions
- Elevate the firm’s external position through thought leadership and client impact


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Technology & Product Evolution
- Leverage the current AI ecosystem (e.g. LLMs, cloud platforms) to deliver immediate client value using our technology
- Feed into the development of proprietary AI-enabled capabilities
- Ensure technology investment is driven by real client use cases — not internal agendas
Internal Adoption & Behaviour Change
- Drive AI adoption across the firm
- Every proposal includes AI elements
- Teams are trained on practical AI application
- Remove low-value manual work through AI-enabled delivery
- Align incentives to reward AI-led growth and delivery
“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