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For Companies At a Glance
- Tasks: Identify AI opportunities, analyse workflows, and recommend improvements for impactful AI delivery.
- Company: Join Howden, a global insurance group with a strong employee ownership culture.
- Benefits: Enjoy a hybrid work model, competitive salary, and a supportive work environment.
- Why this job: Make a real difference by leveraging AI to drive productivity and innovation.
- Qualifications: Experience in AI platforms, strong analytical skills, and a collaborative mindset.
- Other info: Flexible working options and a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
Howden is a global insurance group with employee ownership at its heart. Together, we have pushed the boundaries of insurance. We are united by a shared passion and no-limits mindset, and our strength lies in our ability to collaborate as a powerful international team comprised of 23,000 employees spanning over 56 countries.
People join Howden for many different reasons, but they stay for the same one: our culture. It’s what sets us apart, and the reason our employees have been turning down headhunters for years. Whatever your priorities – work/life balance, career progression, sustainability, volunteering – you’ll find like-minded people driving change at Howden.
Location: London (hybrid) Employment Type: Permanent, Full-time
Role purpose
Provide the foundation for AI delivery: identifying where AI creates genuine value, monitoring, proving and recommending course corrections when initiatives underperform. This role works closely with business teams, IT and delivery, bridging strategy and execution.
Key accountabilities
- Discovery & opportunity analysis
- Map end-to-end workflows with brokers and corporate teams and identify AI-focused process re-engineering opportunities
- Produce clear business cases with explicit assumptions, risks, and expected outcomes
- Make evidence-based recommendations on whether to build, buy, iterate, or stop
- Measurement & benefits tracking
- Define adoption, productivity, and value baselines that Finance will accept
- Build and maintain dashboards reflecting real usage and outcomes, not vanity metrics
- Risk, controls & governance
- Support governance processes, risk assessments, and documentation
- Ensure analysis enables responsible AI decisions
- Insights & continuous improvement
- Analyse model behaviour and user adoption patterns
- Surface important findings about value realisation, adoption barriers, or unintended consequences
- Enablement & communication
- Produce clear guidance, training materials, and explanations that help users adopt AI effectively
- Communicate findings confidently to senior stakeholders
Skills & experience
- Demonstrable expertise in AI platforms and models
- Strong quantitative analysis and problem-solving capability
- Experience defining and tracking metrics for AI-enabled products
- Track record supporting initiatives that moved from analysis into delivery
- Comfortable challenging assumptions and presenting evidence to stakeholders
- Experience working in regulated environments or under formal governance
A career that you define. At Howden, we value diversity – there is no one Howden type. Instead, we’re looking for individuals who share the same values as us:
- Our successes have all come from someone brave enough to try something new
- We support each other in the small everyday moments and the bigger challenges
- We are determined to make a positive difference at work and beyond
Reasonable adjustments
We’re committed to providing reasonable accommodations at Howden to ensure that our positions align well with your needs. Besides the usual adjustments such as software, IT, and office setups, we can also accommodate other changes such as flexible hours or hybrid working.
If you’re excited by this role but have some doubts about whether it’s the right fit for you, send us your application – if your profile fits the role’s criteria, we will be in touch to assist in helping to get you set up with any reasonable adjustments you may require.
AI Productivity Analyst employer: London Insurance Life
Contact Detail:
London Insurance Life Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Productivity Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Howden. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for interviews by practising common questions related to AI and productivity. We want you to showcase your expertise and confidence when discussing your skills.
✨Tip Number 3
Showcase your passion for AI! Share your thoughts on recent trends or projects you've worked on. This will help you stand out as someone who’s genuinely interested in the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you're serious about joining the Howden team.
We think you need these skills to ace AI Productivity Analyst
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Productivity Analyst role. Highlight your experience with AI platforms and your quantitative analysis skills, as these are key to what we’re looking for.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills; give examples of how you’ve tackled challenges in the past. We love seeing evidence of your ability to analyse and solve problems, especially in regulated environments.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at London Insurance Life
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI platforms and models. Be ready to discuss how you've used them in past projects, especially in terms of productivity and value creation. This will show that you can bridge the gap between strategy and execution.
✨Quantitative Analysis is Key
Prepare to demonstrate your strong quantitative analysis skills. Bring examples of how you've defined and tracked metrics for AI-enabled products. This will help you stand out as someone who can provide evidence-based recommendations.
✨Communicate with Confidence
Practice explaining complex AI concepts in simple terms. You’ll need to communicate findings to senior stakeholders, so being able to present your insights clearly and confidently is crucial. Consider doing mock interviews with friends to refine your delivery.
✨Show Your Collaborative Spirit
Since this role involves working closely with various teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with IT and business teams to drive AI initiatives forward.
