At a Glance
- Tasks: Lead data strategy and analytics to drive innovation and measurable business outcomes.
- Company: Join Aviva, a forward-thinking organisation committed to data-driven excellence.
- Benefits: Generous salary, bonus opportunities, pension scheme, and 29 days holiday.
- Why this job: Shape the future of data science and AI in a collaborative environment.
- Qualifications: Expertise in analytical data design, statistical modelling, and strategic influence.
- Other info: Flexible working options and a commitment to inclusivity for all backgrounds.
The predicted salary is between 115000 - 130000 ÂŁ per year.
This is a great job for someone who is excited by the opportunity to shape how a whole organisation uses data. You might be an established leader in analytics, data science, or data architecture who’s ready for a broader enterprise remit, or someone energised by coaching technical teams while influencing senior stakeholders. You’ll enjoy connecting big‑picture strategy with hands‑on technical credibility, and you’ll thrive in an environment where curiosity, collaboration, and clarity matter.
If you love turning complex modelling and analytical capability into meaningful business outcomes—and you’re motivated by building an ecosystem where AI can scale responsibly across Aviva—this role will suit you perfectly.
A bit about the job:
In this role, you’ll lead the Analytical Data and Data Science pillars of Aviva’s enterprise architecture capability. You’ll set the architectural direction for data, analytics, and data science platforms—ensuring they are simple, scalable, and aligned with Aviva’s strategic goals. Working closely with teams across the CDO, Data CIO, and wider business, you’ll translate ambition into actionable technical outcomes, drive innovation, and establish clear standards for analytical excellence. You’ll also mentor talent across the function and play a key part in enabling our enterprise data services and supporting data readiness for AI.
Skills and experience we’re looking for:
- Deep understanding of analytical data design, feature engineering, data quality, metadata, lineage, and analytical data modelling. Able to define what “good analytical data” looks like, set enterprise standards, and ensure the data ecosystem supports scalable analytics and AI.
- High proficiency in statistical modelling, ML, GenAI, experimentation, and validation techniques — combined with the ability to set best‑practice frameworks and challenge technical work at an expert level.
- Ability to shape the organisation’s analytical data and data science strategy, align it to Aviva’s Data & AI agenda, and steer the evolution of platforms, tooling, capabilities, and cross‑market operating models.
- Exceptional influence across federated markets and functions. Able to engage CIO, CDO, business leaders, and technical teams to drive adoption, secure investment, and champion analytics‑driven value.
- Strong ability to translate analytical outputs into measurable business results. Skilled at prioritising high‑impact use cases, quantifying benefits, and ensuring modelling and analytical assets deliver operational, customer, and financial outcomes.
What you’ll get for this role:
- 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.
- Aviva-funded Private Medical Benefit to help you get expert support when you need it.
- Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts.
- Up to ÂŁ1,200 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.
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 at least 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’d love it if you could submit your application online. If you require an alternative method of applying, please give Chloe Nettley a call on 07795207964 or send an email to chloe.nettley@aviva.com.
Head of Analytical Data and Data Science employer: Aviva
Contact Detail:
Aviva Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Analytical Data and Data Science
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how your experience aligns with their goals, especially around data and analytics.
✨Tip Number 3
Showcase your skills through projects or case studies. Bring examples of how you’ve turned data into actionable insights, as this will impress potential employers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Head of Analytical Data and Data Science
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data and analytics shine through. We want to see how excited you are about shaping an organisation's data strategy and driving innovation.
Tailor Your Experience: Make sure to highlight your relevant experience in analytical data design and data science. We’re looking for specific examples that demonstrate your ability to influence stakeholders and deliver measurable business outcomes.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on how your skills align with our needs. Remember, less is often more!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at Aviva
✨Know Your Data Inside Out
Make sure you have a deep understanding of analytical data design and modelling. Be prepared to discuss your experience with feature engineering, data quality, and how you've defined 'good analytical data' in previous roles. This will show that you can set enterprise standards and ensure the data ecosystem supports scalable analytics.
✨Showcase Your Leadership Skills
As a potential leader, it's crucial to demonstrate your ability to mentor and influence teams. Prepare examples of how you've coached technical teams or engaged with senior stakeholders to drive analytics-driven value. Highlighting your collaborative approach will resonate well with the interviewers.
✨Connect Strategy with Technical Credibility
Be ready to discuss how you've aligned analytical data strategies with broader business goals. Share specific instances where you've translated complex modelling into actionable outcomes, showcasing your ability to connect big-picture strategy with hands-on technical work.
✨Quantify Your Impact
Prepare to talk about measurable business results from your analytical outputs. Bring examples of high-impact use cases you've prioritised and how you've quantified benefits. This will demonstrate your strong ability to deliver operational, customer, and financial outcomes through analytics.