MRJ Recruitment
Director of Data (Data, ML & AI)

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MRJ are excited to bring to market a brilliant opportunity for a Director of Data (Data, ML & AI) for one of the fastest growing marketplaces globally.
"We’re looking for an exceptional Director of Data (Data, ML & AI) to take ownership of our enterprise-wide data capability and build the strategy, platforms, teams and culture that will transform how we use data to grow. We don't want data to simply support the business. We want it to help shape where the business goes next."
This is far more than a leadership role overseeing reporting and analytics. It is an opportunity to shape the future of data across the business, working directly with our Executive Team and leaders across Product, Technology, Commercial, Customer and Operations to turn data into a genuine competitive advantage.
What will you own and be expected to deliver?
- Define and deliver a multi-year enterprise data strategy aligned to the wider business, product and technology ambitions.
- Create a clear roadmap across data platforms, engineering, governance, analytics, data science, AI and data products, evolving our data landscape into a modern, scalable and highly effective capability.
- Identify where data, ML and AI can unlock new revenue opportunities, improve customer experiences, accelerate innovation and drive greater operational efficiency.
- Ensure our data strategy directly supports major business initiatives including platform transformation, airport onboarding, product innovation and international growth.
- Partner with the Executive Team and senior leaders to ensure data becomes central to strategic and operational decision-making.
- Move the organisation beyond simply reporting what happened towards understanding why it happened, what will happen next and what we should do about it.
- Develop advanced analytics, predictive capabilities and intelligent data products that solve genuine customer and business problems.
- Build self-service capabilities that give teams faster access to trusted, actionable insight.
- Ensure our Data Science capability focuses on solving meaningful business problems rather than experimentation without outcomes.
- Work closely with Product and Engineering to embed intelligence directly into platforms, products and customer experiences.
- Lead, inspire and develop a multidisciplinary data organisation spanning Data Engineering, BI, Analytics, Data Science and Governance.
- Create an environment where brilliant people can do their best work, develop their careers and challenge conventional thinking.
- Create a culture built around curiosity, experimentation, ownership and continuous improvement.
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.
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.
The ideal person we are looking for:
We're looking for an accomplished data leader who combines strategic vision, technical credibility and commercial thinking.
You'll bring:
- Significant senior leadership experience across Data, Analytics & Data Science.
- A proven track record of defining and executing enterprise-wide data strategies.
- Experience building, scaling and transforming multidisciplinary data organisations.
- Experience delivering modern, cloud-based data platforms and analytics ecosystems.
- Strong knowledge of data engineering, analytics, governance, data science and modern data architecture.
- Experience establishing enterprise data governance, ownership and quality frameworks.
- Exposure to AWS technologies such as Amazon Redshift, AWS Glue and SageMaker, or comparable modern cloud data platforms.
- A strong understanding of how machine learning and AI can move from experimentation into meaningful business applications.
- Experience increasing organisational data maturity and creating genuinely data-driven cultures.
- Experience within digital, travel, e-commerce, marketplaces or SaaS would be particularly valuable, as would experience operating within complex multi-brand, multi-product or international businesses.
- Exposure to major platform migrations, M&A or significant organisational transformation would also be advantageous.


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Next steps
The team will start shortlisting for the role from Monday 17th August with interviews expected to kick off from w/c Monday 24th August.
Please apply today highlighting why you would be suitable for the role.
Please note
This role is hybrid with 3 days minimum in the office in Manchester.
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