RevTech
Head of Data

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Head of Data | Up to £115k | London / Hybrid
The Role:
The data infrastructure is already in place. The opportunity now is to turn data into a genuinely strategic capability across the business, shaping the data strategy, developing the existing team, improving governance and helping leadership make better decisions through data.
- You’ll report directly to the CEO and sit across both the technical and strategic sides of the function.
- The core data infrastructure is already built across technologies including BigQuery, dbt, Airflow, Airbyte and Lightdash.
- The focus is now on making that infrastructure work harder for the business — improving how data is governed, accessed and used, while defining what the next stage of the function should look like.
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.
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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.
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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 you’ll be doing
- Define and own the company’s data strategy, roadmap and priorities
- Work hands-on across data engineering, analytics engineering, modelling and analysis
- Develop and mentor a small existing data team, raising the technical and strategic bar
- Improve data quality, governance, ownership and accessibility
- Partner with teams across the business to understand where data can have the biggest impact
- Help shape the longer-term data, AI and ML strategy
- Explore how AI/LLMs can improve the productivity and capabilities of the data function
- Build the case for future investment and team growth as the business scales
Requirements:
- You’ll ideally have experience of taking a relatively small data team or function through a period of growth or increased maturity.
- You’ll need to be comfortable moving between technical detail and higher-level strategy - this isn't a role for someone who has been purely people-management focused for the last few years.
- Strong communication is also important. You’ll be working closely with senior leadership and non-technical stakeholders, so the ability to turn complex data concepts into clear business decisions is key.


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If you're a hands-on data leader who has actually built or grown a function rather than simply inherited a large, established team, this could be an interesting next step.
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