Head of Artificial Intelligence Impact

Aviva
London
1 day ago
Create job alert

Head of Artificial Intelligence Impact (24 Months FTC)

Salary : £110,000 - £140,000

Locations: London / Bristol (UK)

This is a great job for someone who is motivated by creating significant business impact through strategic AI delivery. You will help shape how Aviva connects with our 21 million customers by turning our extraordinary data asset into meaningful, valuable outcomes. The ideal candidate loves developing and empowering teams, and thrives in an environment where ethical, innovative AI solutions can reshape customer experiences and business performance.

This role is a central force in Aviva's AI transformation. It requires someone who can influence senior decision-makers, champion responsible AI, and translate AI potential into results. They will promote a high-performance culture with a strong focus on experimentation, delivery discipline, and continuous improvement.

A bit about the job:

Within Aviva's Customer & Marketing (C&M) function, the Customer Science team uses data to understand customers so we can be more relevant and take better actions. We are multi-award-winning, and passionate about driving better customer & commercial outcomes.

As Head of AI Impact, you will drive high-value AI adoption across the business, using generative and agentic AI to transform digital, marketing, and customer experience. You will drive engagement across the organisation and ensure AI solutions deliver sustainable value. This is not a technology role; it is about driving business results.

You will create and execute a multi-year AI roadmap, oversee transformation portfolios, and ensure business readiness and adoption. You will represent AI at senior forums, provide thought leadership externally, and uphold responsible AI standards. You will manage a multi-million pound budget, lead collaborative teams, and build a culture where people can thrive and deliver exceptional results.

Skills and experience we're looking for:

  • A proven leader in creating significant business value from AI; someone with a track record of driving innovation and change at scale via cross-functional teams (ideally in direct-to-consumer and/or regulated businesses).
  • Knowledgeable and passionate about AI technologies, including ethical and regulatory considerations, and the opportunities they create.
  • Strong communicator who makes the complex simple and compelling; someone who naturally builds mutually-beneficial partnerships.
  • Skilled in managing budgets, vendors, and successful major transformation projects.
  • A talent catalyst who can build and develop high performance teams with an inclusive, collaborative culture.


What you'll get for this role:

Our purpose - with you today, for a better tomorrow - is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague.

  • Salary £110,000 - £140,000 (depending on location, skills, experience, and qualifications)
  • Bonus opportunity - 25% of annual salary Actual amount depends on your performance and Aviva's.
  • Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in.
  • 29 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days
  • Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts
  • Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme
  • Brilliantly supportive policies including parental and carer's leave
  • Flexible benefits to suit you, including sustainability options such as cycle to work
  • Make a difference, be part of our Aviva Communities and use your 3 paid volunteering days to help others
  • We take your wellbeing seriously with lots of support and tools


Take a look to learn more. Put a salary into this calculator to see what your total Aviva Reward could be.

Aviva is for everyone:

We're inclusive and welcome everyone - we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don't, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares.

We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working - spending around 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues.

To find out more about working at Aviva take a look here

We interview every disabled applicant who meets the minimum criteria for the job. Once you've applied, please send us an email stating that you have a disclosed disability, and we'll interview you.

We'd love it if you could submit your application online. If you require an alternative method of applying, please give Harjot Kaur a call on or send an email to

Related Jobs

View all jobs

Head of Data Science

Head of Machine Learning (Recommendations, AI Stylist & Search)

Head of DevOps and DataOps

Vice President, Head of Discovery Data Science

Data Scientist – GenAI & AI Engineering

Senior Machine Learning Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.