Valexis Consulting
Technology, Data & AI Transformation Lead

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We're less interested in AI demos. We're more interested in what moves EBITDA.
Technology creates value when it makes a business fundamentally better — more productive, more scalable, more insightful, easier to integrate or more valuable at exit.
Valexis is looking for Technology, Data & AI Transformation Leaders who can bridge the gap between technology possibility and commercial reality.
What you'll do
You'll work with portfolio company management teams to identify and deliver technology-enabled value creation.
Depending on the business, that could include:
- Assessing technology, data and digital maturity
- Building pragmatic technology roadmaps aligned with the investment thesis
- Identifying high-value AI and automation opportunities
- Developing data strategies that improve management decision-making
- Leading ERP, platform, infrastructure or application transformation
- Prioritising initiatives according to commercial value rather than technological novelty
- Managing technology vendors and implementation partners
- Translating technical programmes into a clear commercial narrative for Boards and investors
- Demonstrating how technology investment has contributed to EBITDA, scalability or enterprise value
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.
What we're looking for
We're interested in people who can comfortably have a conversation with an engineer in the morning and a PE partner in the afternoon.
You might come from technology consulting, CIO/CTO leadership, data transformation, digital transformation, ERP programmes or AI and automation.
What matters is that you:
- Understand technology deeply enough to challenge it
- Think commercially enough to prioritise it
- Can distinguish genuinely transformative technology from expensive distraction
- Know how to turn a roadmap into delivery
- Communicate complexity simply
- Remain focused on business outcomes


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We're particularly interested in people with PE, M&A or high-growth transformation experience.
About Valexis
Valexis is a specialist PE-focused management consultancy. We help portfolio companies turn strategic ambition into measurable operational and enterprise value.
The opportunity
We're building our network of senior technology, data and AI transformation professionals for upcoming engagements.
If your first question about a new technology is “What business problem does it solve?”, you'll probably fit in well.
“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
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