Manager - Insurance & Asset Wealth Management (I&AWM) Data Architect

Line of Service

Advisory

Industry/Sector

Insurance

Specialism

Application / Solution Architecture

Management Level

Manager

Job Description & Summary

About the Team

PwC's Data & AI Consulting practice is at the forefront of helping organisations unlock value through Artificial Intelligence, Data and emerging technologies. As investment in AI continues to accelerate, the Insurance sector is undergoing significant transformation, creating new opportunities to modernise operations, improve customer experiences and unlock business value through data-driven decision making.

Our Insurance Data & AI team works with leading insurers across the market to design and implement innovative AI solutions, helping clients navigate complex regulatory environments while accelerating digital transformation. We combine deep insurance industry knowledge with world-class technical expertise to solve some of the most challenging problems facing the sector today.

About the Role

We are looking for an experienced Manager - Insurance & Asset Wealth Management (I&AWM) Data Architect to help shape and deliver AI-enabled transformation programmes across the Insurance industry.2

In this role, you will work with insurers to design scalable, secure and responsible AI architectures, advise clients on AI adoption strategies and lead the development of innovative AI solutions that address complex business challenges. You will play a key role in bridging the gap between business needs and technical delivery, helping clients transform how they operate through AI, data and modern technology platforms.

This is an excellent opportunity for someone with a strong blend of AI architecture expertise, consulting experience and insurance sector knowledge who wants to work on market-leading programmes and influence the future of AI within the insurance industry.

What your days will look like:

• Design scalable, secure and reusable AI architectures across data, AI and cloud environments, tailored to complex insurance business and technology landscapes.
• Lead architecture discovery, technical scoping and solution design activities for AI transformation programmes across underwriting, claims, pricing, customer, finance and risk functions.
• Design and implement Agentic AI, LLM and RAG-based solutions, including orchestration, knowledge grounding, governance and monitoring capabilities.
• Lead cross-functional teams of AI Engineers, Data Scientists and Product Specialists to deliver innovative AI solutions from concept through deployment.
• Embed responsible AI, security, data governance and regulatory considerations into solution design within highly regulated insurance environments.