At a Glance
- Tasks: Lead AI strategy and deliver innovative tech solutions in a dynamic environment.
- Company: Join Willis Re, a cutting-edge reinsurance broker focused on technology and analytics.
- Benefits: Enjoy a flexible work culture, competitive salary, and opportunities for professional growth.
- Other info: Be part of a diverse team committed to innovation and excellence.
- Why this job: Make a real impact by transforming AI into practical solutions for the reinsurance industry.
- Qualifications: Experience in AI, digital transformation, and strong communication skills are essential.
The predicted salary is between 80000 - 100000 € per year.
The role at Willis Re is a technology‑led reinsurance broker built on a cloud‑native, modular and data‑driven platform. As the technology Head of AI & Emerging Tech, you will own the overall technology strategy and the roadmap for AI, automation and next‑generation capabilities. As a member of the technology leadership team, you will turn innovation into scaled capabilities across broking, placement, analytics, and client servicing—balancing speed with safety, and experimentation with operational excellence. You will partner closely with the Product Manager, Brokers and business leaders to design simple and scalable solutions and move them from pilot to production with clear accountability. Operating in a hybrid delivery model, you will set standards, govern risk and ensure alignment to global architectures and security requirements, while enabling regional flexibility where needed.
Key responsibilities:
- Define and own the technology strategy for AI, aligned to business priorities; translate value propositions into a roadmap.
- Lead delivery of AI solutions across pricing support, submission triage, document and market data extraction, client insight, workflow automation and co‑pilot experiences for employees.
- Establish responsible AI governance and controls in partnership with Cyber, Data Protection and Legal, covering model risk, data privacy, transparency, human in the loop and auditing.
- Build the target operating model for AI engineering and MLOps, including model lifecycle management, monitoring, incident response, versioning and cost/performance optimisation.
- Set global standards for AI platforms, toolchains and integration patterns; ensure interoperability with enterprise data platforms and adherence to security and compliance requirements.
- Drive rapid experimentation with clear exit criteria; scale successful pilots into reliable, maintainable services using automated testing, observability and release practices.
- Develop and manage strategic vendor and partner relationships, balancing build‑vs‑buy decisions and negotiating commercial and risk terms that protect value.
- Provide executive level communication and storytelling on technology strategy, risks and outcomes; partner effectively with Product Managers, Brokers and clients to shape solutions that fit market workflows.
- Assist Product Managers to ensure solutions land successfully with business teams.
- Maintain horizon scanning and technology assessment, identifying pragmatic opportunities to introduce new capabilities that enhance agility and global scalability.
About You:
You are a business‑minded technology leader who turns AI and advanced technology into practical capabilities. You combine strategic clarity with hands‑on depth, moving comfortably from business conversation to solution design and delivery oversight, and you anchor decisions in risk and value. You thrive in a start‑up environment and are comfortable operating beyond your usual remit to get things done—partnering with business, engineers and regional leaders to unblock delivery and drive adoption. You communicate crisply with business leaders, make trade‑offs explicit and hold clear ownership for outcomes.
Skills and Experience:
- Significant experience leading digital transformation, with proven delivery of AI, automation and emerging technology in complex, cloud‑first environments.
- Proven capability to architect end‑to‑end solutions as well as deliver them, from reference architectures and integration patterns through to production rollout and adoption.
- Proven delivery of AI/ML and GenAI solutions in production, including document intelligence, NLP, search/summary, recommendation, decision support and workflow automation.
- Strong grasp of responsible AI, security and compliance, including model risk management, privacy, data residency, human oversight and auditability.
- Hands‑on understanding of AI/MLOps practices and platforms, including model lifecycle, observability, cost control, CI/CD, feature stores and data integration.
- Experience defining and governing enterprise standards and architectures for AI platforms, APIs and integration, aligned to global patterns with regional flexibility.
- Demonstrated ability to partner with business leaders, translating business requirements into scalable solutions.
- Vendor and partner management expertise, including evaluation, contracting and ongoing performance management tied to value realisation.
- Excellent communication and stakeholder management skills, with credible engagement at all levels and across multi‑region teams.
About Willis Re:
We combine specialist broking with analytics, modeling and research to help insurers optimise risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship‑driven, transparent and outcome‑focused. At the heart of Willis Re is a focus on delivering the most cutting‑edge analytical solutions to enable more informed, better decision‑making for risk selection, portfolio optimisation and capital management. The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis Re in a unique position to build a truly analytically driven business, focused on creating solutions for the reinsurance industry that are future‑led and forward‑thinking. Willis Re will also leverage recognised technical expertise from WTW’s Insurance Consulting & Technology business, including their advanced modelling and analytical capabilities. Alongside this will be WTW’s Research Network, an award‑winning business supporting and influencing science to improve the understanding and quantification of risk. Willis Re is committed to embracing a diverse, inclusive and flexible work environment. We provide equal opportunity to all qualified individuals regardless of race, colour, religion, age, gender, gender expression, national origin, veteran status, disability, orientation or any other legally protected categories. If you have a need that requires accommodation, please email us at talentacquisition@willisre.com.
Technology Head of AI employer: Willis Re
Willis Re is an exceptional employer that champions innovation and collaboration in a dynamic, technology-driven environment. With a strong commitment to employee growth, we offer opportunities for professional development and the chance to work on cutting-edge AI solutions that shape the future of reinsurance. Our inclusive culture fosters diversity and flexibility, ensuring that every team member can thrive while contributing to meaningful projects that make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Technology Head of AI
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in AI and emerging tech. This is your chance to demonstrate what you can do beyond the CV. Share it on LinkedIn or during interviews to really impress potential employers.
✨Tip Number 3
Prepare for those interviews! Research the company and its tech stack, and come armed with questions that show you’re genuinely interested. Practice common interview questions, especially around AI and automation, so you can articulate your thoughts clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Tailor your application to highlight how your experience aligns with the role, and make sure to follow up after applying to keep your name fresh in their minds.
We think you need these skills to ace Technology Head of AI
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to reflect the specific skills and experiences that align with the Technology Head of AI role. Highlight your experience in AI, automation, and digital transformation to show us you’re the right fit!
Showcase Your Achievements:Don’t just list your responsibilities; we want to see your impact! Use quantifiable results to demonstrate how you've successfully led AI projects or digital transformations in the past. Numbers speak louder than words!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and ensure your key messages come through loud and clear. 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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Willis Re
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially those relevant to the reinsurance industry. Be ready to discuss your experience with AI/ML solutions and how you've successfully implemented them in past roles.
✨Showcase Your Strategic Thinking
Prepare to articulate your vision for AI strategy and how it aligns with business priorities. Think about how you can translate complex technical concepts into simple, actionable plans that resonate with business leaders.
✨Demonstrate Collaboration Skills
Since this role involves partnering with various stakeholders, be ready to share examples of how you've effectively collaborated with product managers, brokers, and other teams. Highlight your ability to bridge the gap between technical and non-technical teams.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or scenarios related to AI governance, risk management, and operational excellence. Practice articulating your thought process and decision-making criteria clearly.