At a Glance
- Tasks: Lead AI initiatives, ensuring they solve real problems and deliver measurable outcomes.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Enjoy a competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Collaborative environment with global partnerships and excellent career advancement potential.
- Why this job: Make a tangible impact by driving AI solutions that enhance productivity.
- Qualifications: Experience in AI, automation, or advanced analytics; strong communication skills.
The predicted salary is between 80000 - 100000 € per year.
Location: London, UK (Hybrid)
Employment Type: Permanent, Full-time
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.
AI Productivity Lead employer: Howden
Howden is an exceptional employer that fosters a dynamic and collaborative work culture, particularly for the AI Productivity Lead role based in London. With a strong emphasis on employee growth and development, we offer unique opportunities to drive impactful AI initiatives while working alongside global teams. Our hybrid work model promotes flexibility, and our commitment to responsible AI governance ensures that you will be part of meaningful projects that deliver real value in a regulated environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Productivity Lead
✨Tip Number 1
Network like a pro! Reach out to people in the AI and insurance sectors on LinkedIn or at industry events. Building connections can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio or case studies showcasing your previous AI projects. This will help you demonstrate your expertise and make you stand out during interviews.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI roles and practice your responses. Be ready to discuss how you've driven AI initiatives from concept to live use, just like the role requires.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight how your experience aligns with the AI Productivity Lead role.
We think you need these skills to ace AI Productivity Lead
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI initiatives, especially in the insurance industry. We want to see how your skills align with the key accountabilities mentioned in the job description.
Showcase Your Impact:When detailing your past experiences, focus on the outcomes you've achieved. Use metrics to demonstrate how your contributions have led to measurable value, as this is crucial for the role we're looking to fill.
Be Clear and Concise:In your written application, clarity is key. Avoid jargon and ensure your points are easy to understand. We appreciate straightforward communication that gets to the heart of your experience and ideas.
Apply Through Our Website:We encourage you to submit your application through our website. This way, we can ensure your application is reviewed promptly and you’re considered for this exciting opportunity in our AI Productivity team!
How to prepare for a job interview at Howden
✨Know Your AI Use Cases
Before the interview, dive deep into potential AI use cases relevant to the insurance industry. Be ready to discuss specific examples where AI has driven value and how you would prioritise these opportunities at Howden.
✨Showcase Your Communication Skills
Since this role involves engaging with senior stakeholders, practice articulating complex ideas clearly and concisely. Prepare to explain how you would communicate trade-offs between speed, value, and risk in a calm manner.
✨Demonstrate Your Delivery Focus
Highlight your experience in driving AI initiatives from concept to live use. Be prepared to share stories that showcase your ability to track productivity and measure outcomes effectively post-launch.
✨Understand Governance and Compliance
Familiarise yourself with the regulatory landscape surrounding AI in the insurance sector. Be ready to discuss how you would partner with Legal and Compliance teams to ensure that AI use cases meet all necessary requirements without hindering delivery.
