At a Glance
- Tasks: Lead AI initiatives that drive real impact and solve business challenges.
- Company: Join Howden, a global insurance group with a unique employee-owned culture.
- Benefits: Enjoy hybrid working, career progression, and a supportive work-life balance.
- Why this job: Be at the forefront of AI innovation and make a tangible difference.
- Qualifications: Experience in AI, automation, or analytics, preferably in the insurance sector.
- Other info: Collaborative environment with opportunities for personal and professional growth.
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, UK (Hybrid) Employment Type: Permanent, Full-time
Role purpose
Own the identification, prioritisation, adoption, and value realisation of AI use cases across Howden. This role sits at the intersection of business, delivery, and governance. You're accountable for ensuring AI initiatives solve real problems, are adopted in practice, and deliver measurable outcomes in a regulated enterprise environment. This is a senior individual contributor role focused on delivery and impact rather than management or policy development. Success means shipping use cases that people actually use and that deliver demonstrable value. You'll operate as one of two senior individual contributors in the AI Productivity team, working in close partnership with colleagues based globally.
Key accountabilities
- AI use-case ownership & prioritisation
- Lead discovery with brokers and corporate teams to identify high-value AI opportunities
- Translate complex problems into clear, prioritised use cases with explicit success criteria
- Make and support evidence-based recommendations on whether to build, iterate, or stop
- Adoption & change
- Own the rollout and adoption of AI solutions into real workflows
- Design enablement, guidance, and operating rhythms that move AI from novelty to habit
- Identify and address barriers when adoption stalls or value isn’t being realised
- Value, measurement & outcomes
- Define baselines and success metrics that Finance and senior stakeholders trust
- Track productivity, cost, risk, and quality outcomes post-launch
- Produce clear reporting on what’s working, what needs improvement, and why
- Governance & responsible AI
- Partner with Legal, Compliance, Risk, and InfoSec to ensure AI use cases meet regulatory and policy requirements
- Contribute to governance processes, risk assessments, and decision forums
- Help ensure governance supports delivery rather than hindering it
- Delivery partnership
- Work in close partnership with other AI Productivity leads and Champions across the world
- Shape requirements, acceptance criteria, and rollout plans together
- Provide timely, grounded feedback from real usage to inform solution iteration
- Stakeholder leadership
- Act as a credible point of contact for senior business leaders
- Lead Communities of Practice and develop training programmes with the training team
- Challenge assumptions thoughtfully, manage expectations, and maintain delivery focus
- Communicate trade-offs between speed, value, and risk clearly and calmly
- Management of AI analysts
Skills & experience
- Proven experience and examples of driving AI, automation, or advanced analytics initiatives from concept to live use
- Demonstrable expertise in AI platforms
- Experience of insurance industry
- Strong workflow analysis and business case development capability
- Comfortable defining and defending metrics for productivity and value
- Experience partnering closely with vendors, engineers and data scientists on delivery
- Confident engaging senior stakeholders without relying on positional authority
- Clear written and verbal communicator
What this role is not
- Not a deputy director or people-management role
- Not focused purely on research or experimentation
- Not a reporting-only analyst position
- Not primarily a policy or compliance function
What success looks like after 12 months
- A clear, trusted pipeline of AI use cases aligned to business priorities
- Multiple AI solutions in active use, with adoption tracked and improving
- AI benefits reported in a way Finance and leadership trust
- Governance processes that are understood, practical, and effective
- Strong delivery rhythm with the AI Productivity team, with good collaboration and high throughput
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 Lead employer: London Insurance Life
Contact Detail:
London Insurance Life Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Productivity Lead
✨Tip Number 1
Network like a pro! Reach out to current employees at Howden on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by understanding Howden's culture and values. Think about how your skills in AI and productivity align with their mission. Show them you're not just a fit for the role, but for the team!
✨Tip Number 3
Practice your storytelling! Be ready to share specific examples of how you've driven AI initiatives from concept to live use. Make it relatable and demonstrate the impact you made.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Howden family.
We think you need these skills to ace AI Productivity Lead
Some tips for your application 🫡
Be Authentic: When you're writing your application, let your personality shine through! We want to see the real you, so don’t be afraid to share your passion for AI and how it aligns with our culture at Howden.
Tailor Your Application: Make sure to customise your application to highlight your experience in AI and how it relates to the insurance industry. We love seeing candidates who can connect their skills directly to the role and our mission.
Showcase Your Achievements: Don’t just list your responsibilities; share specific examples of how you've driven AI initiatives from concept to live use. We’re looking for tangible results that demonstrate your impact!
Keep It Clear and Concise: While we appreciate detail, clarity is key! Make sure your application is easy to read and gets straight to the point. We want to understand your qualifications without wading through unnecessary fluff.
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 their applications, especially in the insurance industry. Be ready to discuss specific use cases you've worked on and how they delivered value.
✨Showcase Your Collaboration Skills
Since this role involves working closely with global teams, highlight your experience in cross-functional collaboration. Share examples of how you've successfully partnered with stakeholders to drive AI initiatives.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to translate complex problems into clear, actionable use cases. Think of scenarios where you've identified high-value opportunities and how you prioritised them.
✨Communicate Clearly and Confidently
Practice articulating your thoughts on metrics for productivity and value. Be prepared to explain trade-offs between speed, value, and risk in a calm and clear manner, as this will be crucial in engaging senior stakeholders.