Harnham
VP of Data

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VP Enterprise Data
London (3 days per week in office) | Up to £180,000 + Benefits
This is a rare opportunity to shape the enterprise data, AI, and technology strategy of a highly successful organisation. Sitting at executive leadership level, you will drive business-wide transformation through data, analytics, AI enablement, enterprise architecture, and technology leadership.
The Company
They are a forward-thinking organisation that places data at the centre of decision-making and business performance. As they continue to scale, they are investing heavily in their enterprise data and AI capabilities to create a stronger, more data-driven business. This newly created leadership role offers significant visibility, influence, and the opportunity to shape long-term strategy across the organisation.
The Role
You will lead the enterprise data, analytics, architecture, AI, and core technology functions, ensuring data and systems provide measurable value across the business. Key responsibilities include:
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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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.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Defining and delivering the enterprise data and technology strategy
- Leading data engineering, analytics, enterprise systems architecture, and IT teams
- Driving organisation-wide AI adoption, governance, and enablement initiatives
- Establishing data governance frameworks, standards, and best practice
- Owning enterprise data platforms, architecture decisions, vendor relationships, and technology roadmaps
- Building scalable reporting and analytics capabilities to support executive decision-making
- Partnering with senior stakeholders to align data and AI initiatives with business objectives
- Leading high-performing teams and fostering a culture of innovation, accountability, and continuous improvement
- Overseeing technology investments and ensuring clear business value and ROI


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Your Skills & Experience
- Proven leadership experience across enterprise data, analytics, architecture, and technology functions
- Strong background in cloud data platforms and modern data ecosystems
- Experience shaping and delivering enterprise-wide data strategies
- Demonstrated success leading business transformation through data and AI
- Deep understanding of data governance, data quality, and enterprise architecture
- Ability to operate credibly with executive and board-level stakeholders
- Strong commercial acumen with a focus on delivering measurable business outcomes
- Experience building and leading multidisciplinary teams across data and technology
How to Apply
If you are interested in leading enterprise data, AI, and architecture strategy at executive level, please apply today to learn more about this opportunity.
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