Wave Group
Data Product Lead

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About the Role
Our client, a PE-backed financial services scale-up, is looking for a hands-on data leader to help take their AI data strategy from roadmap to reality. This isn't a role for someone who oversees data strategy from a distance. It's for someone who has personally designed and shipped AI-native data products, working directly with business teams and end users to take them from concept through to live delivery. That could mean AI embedded within a data pipeline, an AI-enabled data product, or a solution that uses data to power AI-driven insights and experiences you built yourself.
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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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 do
- Sit above an existing data team, diagnosing gaps and challenging vendor delivery (particularly around Databricks/AWS-based platforms), and coordinating internal talent with external vendors to keep delivery honest and on track.
- You'll be the bridge between data strategy and what actually gets built.
What we're looking for
- Proven, hands-on experience building agentic AI systems, AI agents, or AI-led data products, not just strategy or governance work.
- Strong cloud platform experience (AWS preferred).
- A track record of product-led thinking, not pure data quality, MDM, or data governance work.
- Comfortable working directly with business stakeholders and end users, not just technical teams.


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Nice to have
- Financial services, insurance, or pensions background — though we're just as interested in strong AI-delivery experience from other sectors.
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