VP, AI & Data Platforms

VP, AI & Data Platforms

Full-Time 121500 - 148500 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead AI and data initiatives to drive business growth and improve decision-making.
  • Company: Join a high-growth global brand in the fintech sector.
  • Benefits: Competitive salary, generous leave, health perks, and career progression opportunities.
  • Other info: Collaborative culture with exciting contests and prizes.
  • Why this job: Shape the future of AI in a dynamic environment and make a real impact.
  • Qualifications: Proven experience in AI, data science, and leadership roles.

The predicted salary is between 121500 - 148500 £ per year.

Corpay is currently looking to hire a VP AI & Data Platforms within our IVP Commercial team. This position falls under our International Vehicle Payments (IVP) line of business and is located in London, Victoria. You will lead our internal AI, data science and data engineering capabilities across our Europe & Rest of World fleet business unit. This is a senior leadership role focused on turning AI and data into tangible business outcomes — driving growth, improving customer retention, optimising operations and enabling smarter decision-making across the organisation. In this pivotal role you will sit at the intersection of business and technology, working closely with commercial, operational and functional leaders to identify opportunities, deliver impactful solutions and scale AI adoption across the company. You will report directly to our Chief Commercial Officer, IVP and regularly collaborate with the wider Strategy team, IVP business leaders and supporting teams across Europe and the UK.

How We Work

As a VP AI & Data Platforms, Corpay will set you up for success by providing:

  • Assigned workspace in Vincent Square, London (Victoria)
  • Company-issued equipment
  • Formal, hands-on training. Support for you to complete professional certifications

Role Responsibilities

This is a unique opportunity to shape and scale AI within a global, high-growth business, working directly with senior leadership to embed AI into how the organisation operates day-to-day. You’ll have the platform to build, lead and deliver meaningful change — turning data and AI into a core driver of business performance.

What you will be delivering;

  • Lead AI & Data Strategy
    • Define and execute a clear AI and data strategy aligned to business priorities, with a focus on revenue growth, customer retention, operational efficiency and productivity.
    • Identify, prioritise and build a portfolio of high-impact AI and data initiatives.
  • Deliver Business Impact
    • Own the end-to-end lifecycle of AI initiatives — from ideation and business case through to delivery, adoption and measurable results.
    • Ensure solutions are embedded into business processes and drive real, sustained impact.
  • Build & Scale Data Platforms
    • Oversee data science, machine learning and data engineering teams to build scalable, reliable and high-quality data and AI platforms.
    • Drive best practices in data architecture, model development, deployment and lifecycle management.
  • Partner Across the Business
    • Work closely with Sales, Operations, Finance, Credit, Marketing and Technology teams to translate business needs into data and AI solutions.
    • Act as a trusted advisor to senior stakeholders, bridging the gap between technical teams and commercial leaders.
  • Drive AI Adoption & Capability
    • Champion the use of AI across the organisation.
    • Promote practical, day-to-day use of AI tools and solutions, and help teams unlock productivity and better decision-making.
    • Support training, upskilling and knowledge sharing to build a data-driven culture.
  • Lead & Inspire a High-Performing Team
    • Lead a multidisciplinary team of data scientists, ML engineers, data engineers and analysts.
    • Build a strong, collaborative and innovative team culture focused on delivery and impact.

What We’re Looking For

Experience & Expertise

  • Proven experience leading AI, data science, machine learning or data platform teams
  • Track record of delivering data and AI initiatives with clear business impact
  • Strong understanding of data platforms, analytics, and ML/AI technologies
  • Experience operating in complex, matrixed organisations

Business & Leadership Skills

  • Strong commercial acumen and ability to link AI initiatives to business value
  • Excellent stakeholder management and influencing skills at senior levels
  • Ability to operate strategically while staying close to execution
  • Experience leading cross-functional initiatives end-to-end

Mindset

  • Pragmatic and delivery-focused, with a bias for action
  • Curious, innovative and comfortable challenging the status quo
  • Strong communicator, able to translate complex topics into clear business language
  • Passion for building and developing high-performing teams

Benefits & Perks

  • Competitive salary (depending on experience) + bonus
  • 25 days annual leave plus public holidays. Plus a holiday buy back scheme
  • Pension scheme
  • Health and wellness programs
  • Significant career progression opportunities, with potential to take on a wider role in the future
  • Opportunity to join a leading brand in a high growth global business
  • Fun culture with company-wide contests and prizes

VP, AI & Data Platforms employer: Corpay One, Inc.

Corpay is an exceptional employer located in Swindon, offering a dynamic work environment where innovation thrives. As a Sales Executive, you'll benefit from uncapped earnings potential, comprehensive training, and a strong emphasis on employee growth through access to resources like LinkedIn Learning. Our inclusive culture values diverse perspectives, ensuring that every team member feels respected and empowered to contribute to our success.

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Contact Details:

Corpay One, Inc. Recruitment Team

We think you need these skills to ace VP, AI & Data Platforms

AI Strategy Development
Data Science Leadership
Machine Learning Expertise
Data Engineering Management
Business Impact Delivery
Stakeholder Management
Cross-Functional Collaboration