Willis Re (UK) Limited

Willis Re (UK) Limited is seeking an M365 Engineer to enhance end-user services and oversee projects for a modern Microsoft 365 environment in London. The ideal candidate will have advanced Microsoft 365 administration skills and experience with tenant management. This role offers an opportunity to make a significant impact in a collaborative team, focusing on service improvement and agile approaches. Skills in iOS device management and strong communication with stakeholders are essential for success.

6 Month FTC (London) M365 Engineer About the Team: We are a newly formed technology function with a clear focus on building modern, high-quality end user services. We are agile, collaborative, and committed to continuous improvement. Team Structure: This role sits within Enterprise Technology, Operations & Service in the Shared Services COE, reporting to the Shared Services Lead and working closely with jurisdiction leadership. This is an opportunity to play a key role in shaping and supporting a modern Microsoft 365 environment in a business with no legacy technical debt. As the M365 Engineer, you will bring specialist knowledge across Microsoft 365 products and administration, helping to improve services, support change, and enhance the end user experience. You will work as part of a small, highly skilled team where you can make a visible impact from day one. Key responsibilities include: Be the Microsoft 365 subject matter expert for Willis Re and its managed service providers Help shape and improve a modern workplace M365 environment with no legacy constraints Lead and support projects such as new services, estate improvements, and office expansion Provide technical guidance and support service escalations Support the onsite team with issue resolution or the business needs when needed About You Skills and Experience: Advanced Microsoft 365 administration skills across core services and applications including, but not limited to Entra, Intune, SharePoint, Exchange, Teams, Cloud PC, Defender, Purview; a Microsoft 365 Administrator certification would be highly advantageous to evidence knowledge Strong understanding of tenant management and end user services Good knowledge of Windows11 Knowledge of iOS devices in a business environment, including mobile device management via Apple Business and Intune Experience supporting change, improvement, and project delivery White gloves style onsite IT support in a financial organisation Previous experience using ServiceNow will be a plus What we are looking for in the candidate Proactive, ambitious, and keen to make an impact Confident working with senior stakeholders and service providers Clear communicator with a practical, hands on mindset Collaborative, accountable, and comfortable in a fast moving 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 .

Role Overview 6 month fixed term contract. The Cloud and Infrastructure team will design, provision, and support Azure cloud infrastructure to enable global business growth. Focus on secure, resilient Azure solutions with emphasis on networking, deployment automation, and adherence to enterprise standards. Key Responsibilities Azure Networking Architecture: develop and maintain virtual networks, routing, firewalls, private endpoints, load balancers, and API Gateways; produce and review low level designs for new and existing services. Deployment & Automation: deliver repeatable, compliant infrastructure using Terraform, Azure DevOps pipelines, and Git based workflows; support blue/green and canary deployment patterns. Connectivity Troubleshooting: diagnose and resolve complex network and service to service connectivity issues across IaaS, PaaS, and hybrid environments using Network Watcher, NSG flow logs, packet capture, and log analytics. Security & Compliance: implement and enforce Azure security best practices including identity and access management, network segmentation, encryption, policy governance, and threat protection; ensure alignment with organisational standards and regulatory requirements. Operational Excellence: monitor, optimise, and support cloud infrastructure, ensuring high availability and performance; contribute to incident response, root cause analysis, and continuous improvement. Collaboration & Documentation: work closely with architects, developers, and security teams to deliver integrated solutions; produce clear technical documentation, including LLDs, runbooks, and standards for BAU support teams. Qualifications Strong expertise in Azure networking (VNets, routing, firewalls, private links, load balancing). Experience producing low level designs and implementing enterprise grade architectures. Hands on proficiency with infrastructure as code and automated deployments (ideally Terraform and Azure DevOps). Deep troubleshooting capability for network and connectivity issues across cloud environments. Understanding of building, deploying, and managing API Gateways. Strong knowledge of Azure security controls, governance, and compliance frameworks. Familiarity with monitoring, logging, and diagnostic tooling. Solid scripting skills (PowerShell, Bash, or Python). Nice to Have Experience with observability tools like DataDog. Understanding of Zero Trust Architecture. Snowflake experience. EEO Statement 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.

Willis Re (UK) Limited is looking for an expert in cloud infrastructure on a 6-month fixed-term contract. The role involves designing and supporting Azure cloud solutions, focusing on secure and resilient infrastructure. You will work closely with teams to implement best practices in networking, automation, and compliance while contributing to operational excellence and documentation.

QA Lead As QA Lead you will be responsible for shaping and driving the quality assurance strategy across the developing technology ecosystem, balancing the need for rapid progress and sustainable quality as the business and systems evolve. Working closely with Architecture & Engineering, Product and Business teams, you will establish best practices, build confidence in our quality and release processes and foster a "right first time" culture where quality is a shared responsibility. This is a hands on leadership role in a rapidly growing organisation. You'll define QA standards, establish testing practices through third party arrangements and embed automation from day one; you will also be a contributor to business interactions, partner leadership and strategy & report development. The environment is a combination buy, build and AI / agentic tools distributed across the workforce. Key Responsibilities Define and own the QA Strategy, processes and standards across the software development lifecycle. Develop and maintain a scalable testing framework that supports manual testing but which emphasises automated testing. Lead test planning, execution, defect management and release readiness activities across multiple product teams. Work closely with Product Managers, Engineers, Business Analysts, and stakeholders to define acceptance criteria and ensure quality is embedded from the earliest stages of development. Drive test automation actively across all products and projects. Establish quality metrics, reporting and dashboards to product transparency regarding quality and progress. Continuously improve QA processes, tools and methodologies to support rapid and reliable software delivery. Deploy methods and tools suited to an agentic development environment across applications and data lakehouse. Ensure testing activities support security, performance, resilience and compliance relevant to a regulated business. Ensure testing of data lakehouse supports classification, rights access & rights to use, traceability, integrity, security and availability. Contribute to the continuous evolution of our engineering culture by promoting collaboration, ownership and continuous improvement. About You You are an experienced QA professional who combines strong technical expertise with a pragmatic, collaborative approach to driving up quality whilst ensuring progressive delivery. Comfortable operating in a small, dynamic, multi region, multi partner matrix organisation. You are self starting, open, striving for better, adaptable and motivated by continuous improvement. Skills and Experience Proven experience leading Quality Assurance within an agile software development environment. Strong understanding of QA methodologies, testing strategies and SDLCs. Designing and implementing automated testing frameworks and tools. Hands on experience with API integration, functional, regression, end to end testing, and adept at supporting through User Acceptance. Knowledge of CI/CD pipelines and integrating automated testing into deployment workflows. Experience testing modern data platforms built on a Lakehouse architecture, ensuring the quality, integrity and reliability of data across ingestion, transformation, storage and consumption layers. Familiarity with cloud based platforms such as Databricks or Snowflake. Familiarity with observability tools and techniques to proactively identify data quality issues and pipeline failures. Experience using test management and defect tracking tools such as Jira, Azure DevOps and similar. String understanding of risk based testing and quality governance. Ability to analyse complex systems and identify areas of potential quality risk. Excellent written and oral communication skills, with the ability to explain business issues to technical teams and technical issues to both technical and non technical audiences. Previous experience working within insurance, reinsurance industries is highly desirable as is experience of high growth scale up environments. 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 We're hiring people from all walks of life who are curious, collaborative and ambitious. We look forward to hearing from you! If you're curious, collaborative, and ambitious, you'll find the opportunity at WillisRe to shape something extraordinary.

Willis Re (UK) Limited is seeking a Full Stack Engineer to build its global technology estate from the ground up, focusing on data, analytics and modern cloud platforms. You will own features end to end across APIs, services and user interfaces, with AI enabled design and secure, scalable architectures. The role requires hands on engineering across the stack, experience with C#/.NET or Python, React/Angular on Azure, and modern DevOps practices, collaborating across a greenfield estate.

Full Stack Engineer at Willis Re is building its global technology estate from the ground up, unencumbered by legacy and designed around data, analytics and modern cloud platforms. We are looking for a Full Stack Engineer to build the products that power our reinsurance broking, analytics and client facing platforms. This is a hands on engineering role for someone who enjoys working across the whole stack and is equally comfortable building conventional services and AI enabled features. Key Responsibilities Build Across the Stack: Design, build and ship features end to end, from APIs and services through to responsive, accessible user interfaces. Cloud Native Delivery: Develop and run cloud native applications on Microsoft Azure, using PaaS services, containers and infrastructure as code. Data Driven Features: Consume data through APIs and services to surface it in usable, performant ways for brokers and analysts. AI Enabled Development: Build AI enabled product features using patterns such as retrieval augmented generation, tool and API integration, evaluation and human in the loop design. AI Assisted Engineering: Use AI assisted engineering tools such as Claude Code or Claude Cowork as part of your day to day workflow, and help the wider team adopt them well. Integration: Integrate with external market platforms, carrier and client systems, and vendor SaaS products using API first and event driven patterns. Quality & Security: Practise test driven development and write secure, maintainable code, applying established security patterns including authentication and authorisation (Entra ID, OAuth 2.0), data protection and privacy from the start. Collaboration: Build to the agreed architectural standards and help shape them, contributing to design discussions, reviewing code from in house and partner engineers, and mentoring others across a greenfield estate. About You You are a pragmatic, hands on engineer who enjoys a fast moving, greenfield environment and wants to work across both traditional and AI native development. Experience Extensive professional software engineering experience, with a track record of shipping and supporting production systems end to end. Experience in insurance, reinsurance or wider financial services is a plus. Backend: Strong programming skills in C#/.NET or Python, solid API design and strong SQL. Frontend: Practical experience building modern user interfaces with React or Angular and TypeScript. Cloud & DevOps: Hands on experience with Azure, CI/CD tooling such as Azure DevOps or GitHub Actions, and infrastructure as code (Terraform). Standards & Security: Experience building to architectural standards and applying common patterns such as microservices, event driven and API led design, together with a strong grounding in security patterns (OAuth 2.0, OIDC, Entra ID, RBAC) and secure coding practices. Data: Comfortable working with relational databases and data heavy application features, with strong SQL and an eye for query performance. AI Development: Experience building with LLMs and AI enabled solutions, or a clear appetite to learn. Familiarity with agentic patterns, prompt design and evaluation is a significant advantage. Engineering Craft: Fluency in test driven development and automated testing, an eye for maintainable design, and good judgement about when to keep things simple. Communication: Ability to work closely with product stakeholders and delivery partners, and to explain technical trade offs clearly. Equal Opportunity Statement 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 .

Willis Re is building its global technology estate from the ground up, focusing on cloud-native data analytics and modern platforms. The Solution Architect will own end-to-end design across greenfield initiatives for reinsurance broking, analytics, and client-facing platforms. Working with the Head of Architecture & Engineering and strategic partners, you will shape architectures, drive engineering standards, and mentor engineers while ensuring secure, scalable, and compliant solutions that

Solution Architect Willis Re is building its global technology estate from the ground up, unencumbered by legacy and designed around data, analytics and modern cloud platforms. We are looking for a Solution Architect to shape and deliver the solutions that power our reinsurance broking, analytics and client facing platforms. Working closely with the Head of Architecture & Engineering, business stakeholders and strategic delivery partners, you will own end to end solution design across a portfolio of greenfield initiatives. Key Responsibilities Cloud Architecture: Design secure, scalable, cloud native solutions on Microsoft Azure, spanning infrastructure, PaaS services, networking, identity, security and observability. Data Engineering: Design solutions around our data lake platform, architecting performant pipelines, sound data models and strong governance for large volumes of reinsurance placement, exposure, claims and market data. Hands on Prototyping: Take a hands on role in building proofs of concept and prototypes to validate designs and support key technical decisions. Integration: Define and govern third party integrations with market platforms, carrier and client systems, and vendor SaaS products, using API first, event driven and secure data exchange patterns, with canonical data models and anti corruption layers to insulate the core platform. Security & Compliance: Embed security and compliance into designs from the outset, covering zero trust principles, authentication and authorisation (Entra ID, OAuth 2.0), data protection, data residency and auditability, working with security and risk teams. Engineering Leadership: Work closely with in house and partner engineers, setting the engineering standards for a greenfield estate and guiding them through implementation, acting as lead engineer where needed to ensure solutions are built to the agreed designs. Governance: Produce high quality solution designs, integration contracts and architecture artefacts, and play an active role in the Architecture Review Board (ARB), presenting your own designs and vetting solution designs from vendors and delivery partners. AI Adoption: Promote the adoption of AI assisted engineering tools and practices across the delivery lifecycle. About You Experience: Extensive years of experience, grounded in hands on software engineering and progressing into solution architecture over the last 4+ years. You have designed data intensive systems you also helped build, ideally in insurance, reinsurance or wider financial services. Technical Stack: Current, practical programming skills, ideally in C#/.NET or Python, with strong SQL, working knowledge of modern UI frameworks such as React or Angular with TypeScript, and hands on experience with infrastructure as code (Terraform) and AzureDevops. You are comfortable writing production quality code for proofs of concept and pairing with engineers. Azure Expertise: Deep expertise in Azure infrastructure and platform services, including networking, security, identity, compute and integration services, along with hands on experience of CI/CD tooling such as Azure DevOps or GitHub Actions. Architectural Patterns: Depth across architectural patterns such as microservices, event driven, API led, lakehouse/medallion and domain driven design, with good judgement on when to apply each. Data Platforms: A strong track record architecting data intensive solutions handling large data volumes, with experience across cloud data platforms, data pipelines and SQL based technologies. Integration: Strong integration experience across external systems, including REST APIs, messaging and event driven architectures, and secure file and data exchange, with experience using canonical data models and anti corruption layers. Security: Strong grounding in security architecture, including authentication and authorisation patterns (OAuth 2.0, OIDC, Microsoft Entra ID, RBAC), zero trust principles, and designing for compliance in regulated financial services (data privacy, cross border data residency and audit requirements). AI Foundations: Experience designing agentic or AI enabled solutions, including patterns such as retrieval augmented generation, tool and API integration, evaluation and human in the loop design, would be a significant advantage, though it is not essential. Familiarity with AI assisted engineering tools such as Claude Code or Claude Cowork is a plus. Communication: Excellent communication skills, with the ability to translate complex business requirements into pragmatic technical designs and to influence stakeholders at all levels. About Willis Re We combine specialist broking with analytics, modelling 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 . We're hiring people from all walks of life who are curious, collaborative and ambitious. Explore our current open positions, apply and keep track of your progress all in one place, plus keep an eye out for new postings that might interest you. We look forward to hearing from you! If you're curious, collaborative, and ambitious, you'll find the opportunity at Willis Re to shape something extraordinary.

Willis Re is seeking a Full Stack Engineer to help build its next-generation platforms for reinsurance broking, analytics and client-facing tools. This is a six month contract role with Inside IR35, offering a daily rate of £700-£850 and a hands-on, cloud first environment. You will work across the stack, from APIs and services to responsive UIs, collaborating with architects, stakeholders and delivery partners to ship software used by brokers and analysts daily.

Full Stack Engineer - 6 month contract (Inside IR35, £700-£850 per day) Willis Re is building its global technology estate from the ground up, unencumbered by legacy and designed around data, analytics and modern cloud platforms. We are looking for a Full Stack Engineer to build the products that power our reinsurance broking, analytics and client facing platforms. This is a hands on engineering role for someone who enjoys working across the whole stack and is equally comfortable building conventional services and AI enabled features. You will work alongside architects, product stakeholders and delivery partners to ship software that brokers and analysts use every day. Key Responsibilities Build Across the Stack: Design, build and ship features end to end, from APIs and services through to responsive, accessible user interfaces. Cloud Native Delivery: Develop and run cloud native applications on Microsoft Azure, using PaaS services, containers and infrastructure as code. Data Driven Features: Consume data through APIs and services to surface it in usable, performant ways for brokers and analysts. AI Enabled Development: Build AI enabled product features using patterns such as retrieval augmented generation, tool and API integration, evaluation and human in the loop design. AI Assisted Engineering: Use AI assisted engineering tools such as Claude Code or Claude Cowork as part of your day to day workflow, and help the wider team adopt them well. Integration: Integrate with external market platforms, carrier and client systems, and vendor SaaS products using API first and event driven patterns. Quality & Security: Practise test driven development and write secure, maintainable code, applying established security patterns including authentication and authorisation (Entra ID, OAuth2.0), data protection and privacy from the start. Collaboration: Build to the agreed architectural standards and help shape them, contributing to design discussions, reviewing code from in house and partner engineers, and mentoring others across a greenfield estate. About You Experience: Extensive professional software engineering experience, with a track record of shipping and supporting production systems end to end. Experience in insurance, reinsurance or wider financial services is a plus, but not essential. Backend: Strong programming skills in C#/.NET or Python, with solid API design and strong SQL. Frontend: Practical experience building modern user interfaces with React or Angular and TypeScript. Cloud & DevOps: Hands on experience with Azure, CI/CD tooling such as Azure DevOps or GitHub Actions, and infrastructure as code (Terraform). Standards & Security: Experience building to architectural standards and applying common patterns such as microservices, event driven and API led design, together with a strong grounding in security patterns (OAuth2.0, OIDC, EntraID, RBAC) and secure coding practices. Data: Comfortable working with relational databases and data heavy application features, with strong SQL and an eye for query performance. AI Development: Experience building with LLMs and AI enabled solutions, or a clear appetite to learn. Familiarity with agentic patterns, prompt design and evaluation is a significant advantage. Engineering Craft: Fluency in test driven development and automated testing, an eye for maintainable design, and good judgement about when to keep things simple. Communication: Ability to work closely with product stakeholders and delivery partners, and to explain technical trade offs clearly. Equal Opportunity 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 .

Willis Re (UK) Limited is seeking a Solution Architect for a 6-month contract to shape and deliver cloud-native, data-intensive solutions for its reinsurance platforms. You will design secure, scalable Azure-based systems spanning infrastructure, data pipelines, and APIs. You will lead integration with market data, vendor SaaS, and client systems, apply zero-trust security, and guide engineering teams through Architecture Review Board discussions while promoting AI-assisted engineering practices.

Solution Architect - 6-month Contract Willis Re is building its global technology estate from the ground up, centered on data, analytics, and modern cloud platforms. We are looking for a Solution Architect to shape and deliver the solutions that power our reinsurance broking, analytics, and client-facing platforms. Key Responsibilities Design secure, scalable, cloud-native solutions on Microsoft Azure, encompassing infrastructure, PaaS services, networking, identity, security, and observability. Architect data-lake platforms, designing performant pipelines, sound data models, and strong governance for large volumes of reinsurance placement, exposure, claims, and market data. Build proofs of concept and prototypes to validate designs and support technical decisions. Define and govern third-party integrations with market platforms, carrier and client systems, and vendor SaaS products using API-first, event-driven, and secure data-exchange patterns, canonical data models, and anti-corruption layers. Embed security and compliance from the outset, covering zero-trust principles, authentication and authorization (Entra ID, OAuth 2.0), data protection, residency, and auditability in collaboration with security and risk teams. Lead engineering standards for a greenfield estate, guiding in-house and partner engineers and acting as lead engineer where needed. Produce high-quality solution designs, integration contracts, and architecture artifacts; present designs and vet those from vendors and delivery partners on the Architecture Review Board. Promote AI-assisted engineering tools and practices across the delivery lifecycle. About You Extensive experience (4+ years) in software engineering progressing into solution architecture, with hands on design of data-intensive systems, ideally in insurance, reinsurance, or financial services. Strong programming skills in C#/.NET or Python, solid SQL knowledge, and experience with modern UI frameworks such as React or Angular with TypeScript. Hands-on infrastructure-as-code experience (Terraform) and Azure DevOps or GitHub Actions for CI/CD. Azure expertise across networking, security, identity, compute, and integration services. Deep knowledge of architectural patterns: microservices, event-driven, API-led, lakehouse/medallion, domain-driven design. Experience designing large data-volume solutions across cloud data platforms, pipelines, and SQL-based technologies. Proficiency in integration with external systems via REST APIs, messaging, event-driven architectures, secure file exchange, and use of canonical data models and anti-corruption layers. Strong foundation in security architecture, including authentication and authorization (OAuth 2.0, OIDC, Entra ID, RBAC), zero-trust principles, and compliance in regulated financial services. Knowledge of AI-enabled or agentic solutions (retrieval-augmented generation, tool and API integration, human-in-the-loop) is a plus. Excellent communication and stakeholder influence skills, translating complex business requirements into pragmatic designs. Equal Opportunity Statement 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 category. If an accommodation is required, please email us at .

Willis Re (UK) Limited is looking for a Technology Head of AI & Emerging Tech to own the strategy for AI and automation. You will lead the delivery of innovative AI solutions across various functions while ensuring alignment with business priorities. The ideal candidate will have substantial experience in digital transformation, proven capabilities in delivering AI/ML solutions, and a strong focus on responsible AI practices. The position offers a dynamic hybrid working model.

Overview The role 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 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. Diversity & Inclusion We are 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 .