Product Strategy, Discovery & Delivery
· Own the product strategy and roadmap for AI & Automation, aligned with broader Product team, market and business priorities.
· Identify and prioritise high-value AI use cases across the insurance lifecycle, including document and data extraction, underwriting support, claims triage, CRM and pipeline automation, and agent copilots.
· Translate ambiguous business problems into clear product requirements, working with Engineering to scope solutions that are feasible, valuable and scalable.
· Run structured discovery with branch agents, underwriters, operations teams and market leaders to ground AI initiatives in real workflow pain points and client demand.
· Manage delivery through the full product lifecycle: discovery, requirements, build, testing, rollout, adoption and value realisation.
Commercial & Go-to-Market Leadership
· Help originate, shape and deliver large AI transformation programmes that may span multiple years, functions and parts of the insurance value chain.
· Build and maintain a robust pipeline of AI opportunities across UK&I, partnering with market leaders to convert demand into prioritised initiatives and revenue opportunities.
· Deliver profitable AI-led engagements and product capabilities with clear commercial outcomes, measurable client value and transparent success criteria.
· Define and champion a clear AI narrative for insurance, supported by practical propositions and flagship use cases that anchor client and internal conversations.
· Equip colleagues, market leaders and client-facing teams with practical AI sales tools, demonstrations, business cases and reusable propositions.
· Strengthen the firm’s external position through thought leadership, credible use cases and evidence of client and operational impact.
Technology & Product Evolution
· Leverage the current AI ecosystem, including large language models, Microsoft Copilot, cloud platforms and enterprise automation tools, to deliver immediate value using our technology estate.
· Feed proven client and operational demand into the development of proprietary AI-enabled capabilities and reusable product components.
· Ensure technology investment is driven by validated client and user needs, strategic value and measurable outcomes rather than internal agendas.
· Stay current on AI and LLM capabilities and the vendor landscape, and assess their relevance to insurance operations and growth.
Adoption, Governance & Behaviour Change
· Drive practical AI adoption across the wider team and business, embedding AI considerations into relevant propositions, transformation programmes and product decisions.
· Build teams’ confidence through training, playbooks and hands-on support focused on practical AI application.
· Identify and remove low-value manual work through AI-enabled products and delivery methods.
· Work with leaders to align objectives, measures and incentives so they support responsible AI-led growth, adoption and delivery.
· Work with Compliance, Legal and Risk to ensure AI features meet regulatory, data governance and responsible AI standards relevant to insurance.
· Represent the AI & Automation workstream in cross-functional planning, stakeholder updates and leadership reviews, and support the Head of Product when needed.