At a Glance
- Tasks: Lead AI initiatives, ensuring they solve real problems and deliver measurable outcomes.
- Company: Join Howden, a global insurance group with a strong employee ownership culture.
- Benefits: Enjoy a flexible hybrid work environment, career progression, and a supportive team.
- Why this job: Make a real impact by driving AI solutions that transform workflows and enhance productivity.
- Qualifications: Experience in AI, automation, or advanced analytics, preferably in the insurance industry.
- Other info: Collaborative environment with opportunities for personal growth and meaningful contributions.
The predicted salary is between 43200 - 72000 £ per year.
Who are we? 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 are 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 will 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.
What do we offer in return? 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: Howden Group Holdings
Contact Detail:
Howden Group Holdings 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 or through mutual connections. Ask them about their experiences and any tips they might have for landing the AI Productivity Lead role.
✨Tip Number 2
Prepare for the interview by understanding Howden's culture and values. Think about how your own experiences align with their no-limits mindset and collaborative spirit. Be ready to share examples that showcase your fit!
✨Tip Number 3
Showcase your passion for AI and its real-world applications. Be prepared to discuss specific use cases you've worked on and how they delivered measurable outcomes. This will demonstrate your ability to drive value in the role.
✨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, it shows you’re serious about joining the Howden team.
We think you need these skills to ace AI Productivity Lead
Some tips for your application 🫡
Be Yourself: When you're writing your application, let your personality shine through! We want to see the real you, so don’t be afraid to show your passion for AI and how it can drive change.
Tailor Your Application: Make sure to customise your application to highlight your experience with AI and how it relates to the insurance industry. We love seeing how your skills align with our mission at Howden!
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 all about measurable outcomes, so make those achievements pop!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with Howden!
How to prepare for a job interview at Howden Group Holdings
✨Understand the AI Landscape
Before your interview, dive deep into the current trends and challenges in AI, especially within the insurance sector. Familiarise yourself with Howden's approach to AI and think about how you can contribute to their goals. This will show your genuine interest and help you speak confidently about relevant use cases.
✨Prepare Real-World Examples
Have specific examples ready that demonstrate your experience in driving AI initiatives from concept to live use. Be prepared to discuss the challenges you faced, how you overcame them, and the measurable outcomes of your projects. This will highlight your problem-solving skills and ability to deliver value.
✨Know Your Metrics
Since this role involves defining and defending metrics for productivity and value, brush up on key performance indicators relevant to AI projects. Be ready to discuss how you would measure success and track outcomes post-launch, as this will be crucial for the role.
✨Engage with Stakeholders
Think about how you would communicate with senior stakeholders and manage expectations. Prepare to discuss strategies for fostering collaboration and addressing barriers to adoption. Showing that you can engage effectively with various teams will demonstrate your leadership potential in this individual contributor role.