Head of AI - Divisional in London

Head of AI - Divisional in London

London Full-Time 78750 - 96250 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead AI strategy and initiatives to drive innovation and efficiency in a dynamic environment.
  • Company: Join Planet, a global leader in integrated technology and payments solutions.
  • Benefits: Hybrid work model, competitive salary, and opportunities for career growth.
  • Other info: Diverse and inclusive workplace with a focus on ethical AI practices.
  • Why this job: Make a real impact by shaping the future of AI in a fast-paced tech market.
  • Qualifications: Proven experience in AI leadership and strong stakeholder management skills.

The predicted salary is between 78750 - 96250 £ per year.

About Planet

Planet is a global provider of integrated technology and payments solutions for retail and hospitality customers. We create great experiences for the millions of people who use our payments, software, and tax-free solutions every minute of every day. Planet empowers its customers to deliver great customer experiences by combining payments and software in ways that drive greater loyalty, increase revenue and save time. Founded over 35 years ago and with our headquarters in London, today we have more than 2,500 employees located across six continents serving our customers in more than 120 markets.

Role overview:

The Head of AI - Divisional is responsible for defining and delivering the AI strategy for an assigned business division, driving measurable improvements in automation, productivity, customer experience, revenue generation, and operational efficiency. Operating as part of the AI Centre of Excellence (AI CoE), the role acts as the senior AI leader for their division, translating business priorities into scalable AI solutions that deliver tangible value whilst ensuring appropriate governance, risk management, and responsible AI practices. The Head of AI - Divisional will be provisionally aligned to a business domain and will work closely with divisional leadership teams to identify opportunities, prioritise investments, accelerate adoption, and realise measurable outcomes from AI initiatives.

What you will do

  • Strategy & value: Own the divisional AI roadmap. Find, prioritise and build the business case for AI opportunities, and track the benefits against agreed KPIs.
  • Delivery: Lead AI initiatives from idea to production and wider adoption, using enterprise standards and platforms. Encourage fast experimentation and keep improving deployed solutions.
  • Stakeholders: Be the division's main AI contact. Influence senior leaders and align the business, technology, legal and compliance teams. Bring thought leadership on new AI trends.
  • Governance & risk: Make sure AI is compliant and responsible, covering data privacy, security, model governance, explainability and human oversight.
  • Adoption & leadership: Drive AI adoption and literacy, and build a network of AI champions. Lead cross-functional teams, both direct and matrixed. Work with the AI CoE to reuse and scale proven solutions ("build once, scale many").

Who you are

  • Significant experience leading AI, data, digital or transformation programmes, with a proven record of measurable business outcomes.
  • Strong commercial awareness, executive communication and stakeholder management skills.
  • Experience leading cross-functional teams and large-scale change in complex matrix organisations.
  • Solid understanding of Generative AI, Machine Learning, Process Automation, AI Operating Models and Responsible AI.
  • A strategic thinker with a bias for action, comfortable with ambiguity, curious and committed to ethical AI.

Nice to have: experience leading AI transformation in large enterprises, building and scaling AI products, and knowledge of AI governance and regulatory frameworks. Experience across functions such as Commercial, Operations, Finance, Technology, Customer Experience, HR or Legal is also a plus.

What success looks like: A strong pipeline of high-value AI opportunities, measurable commercial and operational results, wide adoption across the division, less manual effort, and AI solutions delivered safely and reused across other business areas.

Why Planet: Planet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit, and business need. Come and grow your career in the most exciting, fast paced technology market, with a business that delivers feel-good connected commerce.

We would love to hear from you – Apply now. At Planet, we embrace a hybrid work model, with three days a week in the office. Reasonable accommodations may be made in order to allow for an individual to perform the essential functions of this role successfully.

Head of AI - Divisional in London employer: Planet Paymet

At Planet, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. Our commitment to employee growth is evident through mentorship opportunities and cross-departmental partnerships, ensuring that you can thrive while driving impactful results in the strategic hospitality sector. Join us to be part of a forward-thinking team that values your contributions and supports your professional journey.

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Contact Details:

Planet Paymet Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Head of AI - Divisional in London

✨Join Local Tech Meetups

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✨Contribute to Open Source Projects

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We think you need these skills to ace Head of AI - Divisional in London

AI Strategy Development
Automation
Productivity Improvement
Customer Experience Enhancement
Revenue Generation
Operational Efficiency
Stakeholder Management

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Planet Paymet.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Planet Paymet and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Planet Paymet

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Planet Paymet uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.