Senior Manager - AI-Enabled Transformation in the Insurance Sector
PWC Uk
About the role:
You’ll be joining PwC’s Risk Line of Service, within our AI & Modelling team, working at the forefront of AI-enabled transformation in the insurance sector.
This role is for people who understand technology deeply enough to shape and execute a vision, not just talk about it. You will help insurance clients design, build and embed Generative AI, agentic and advanced analytics solutions across finance, actuarial, pricing, capital and risk functions, operating in an environment where technologies, architectures and regulatory expectations are evolving rapidly.
As a Manager / Senior Manager, you will sit close to the technology: shaping solution architecture, guiding engineering and modelling teams, and ensuring that AI solutions are robust, scalable, explainable and fit for purpose in a regulated insurance environment.
You will work alongside actuaries, data scientists, engineers and insurance specialists, and will be supported by PwC’s onshore and offshore Technology and AI Centres of Excellence.
What your days will look like:
Leading the design and delivery of AI-enabled solutions, from problem definition through to deployment, across insurance pricing, reserving, capital modelling, finance transformation and risk analytics.
Shaping solution architectures for Generative AI and agentic systems, including decisions around data, models, orchestration, controls and integration into existing platforms.
Working hands-on with technical teams (engineers, data scientists, actuaries) to translate vision into buildable, testable and scalable solutions.
Embedding AI responsibly, ensuring solutions meet expectations around model risk management, explainability, auditability, security and governance.
This role is for you if:
You have strong experience delivering technology-enabled transformation, in insurance or financial services, but with clear hands-on involvement in solution design and delivery.
You have practical experience with modern AI and analytics approaches, such as: Generative AI and large language model–based systems, Agentic or decision-automation architectures, Advanced analytics and modelling in regulated environments
You understand how AI solutions are built and operated, including: Data pipelines and feature engineering, Model lifecycle management (development, testing, monitoring), Integration with enterprise systems and workflows
You are comfortable making architectural and design decisions in situations where there is no single “right answer”, and technology choices evolve rapidly.
You understand insurance finance, actuarial, pricing, risk or capital well enough to design solutions that work in practice, not just in theory.
You can lead technical teams without needing to be the deepest specialist, providing direction, challenge and structure while enabling others to do their best work.


