AI Analyst — Insurance Tech - Marsh

Overview

Company:
Marsh

Description:

We are seeking a talented individual to join our Office of the UK CIO team s role will be based in London. This is a hybrid role that has a requirement of working at least three days a week in the office.

This role focuses on leveraging AI technologies to enhance insurance technology delivery within the London Market specialty lines. You will act as a domain expert and AI analyst, using AI-augmented tools to accelerate analysis, draft user stories, map dependencies, and ensure delivery readiness across placing platforms, claims, premium and fiduciary systems, regulatory submissions, and delegated authority workflows. Your expertise will drive AI-enabled transformation and improve delivery outcomes by translating business intent into actionable, AI-enhanced solutions.

• Use AI-assisted tools to analyse business processes, generate user stories, acceptance criteria, and gap analyses rapidly and reliably.
• Translate business and technical requirements into AI-enabled delivery-ready scope across the full Specialty value stream, including Lloyd’s-specific workflows and regulatory submission requirements.
• Act as the AI domain authority within delivery teams, providing insights into how AI can optimise insurance processes and solutions.
• Map and visualise complex cross-system dependencies early, using AI and process discovery tools to prevent blockers and accelerate delivery.
• Collaborate closely with Strategic TPMs, Solutions Architects, and delivery teams to align AI capabilities with programme priorities and architecture.
• Support the embedding of AI into BA workflows and contribute to shaping AI standards and tooling adoption within the Office of the UK CIO.

• Hands-on experience in the London Market or specialty insurance lines, with strong familiarity of Lloyd’s workflows and placing platforms.
• Proven experience in insurance technology delivery, with a focus on AI-enabled analysis, process automation, or digital transformation.
• Practical knowledge of ACORD, MRC standards, market messaging, and regulatory reporting (Lloyd’s, FCA) and their impact on solution design.
• Strong skills in Agile delivery, including writing clear user stories, acceptance criteria, backlog grooming, and gating work for delivery.
• Experience using AI tools, process intelligence, or automation platforms in day-to-day analysis and documentation, or a strong willingness to adopt them quickly.
• Excellent stakeholder management, facilitation, and communication skills with a track record of influencing across business and technology.

• Experience identifying and defining AI-enabled transformation opportunities across insurance functions such as claims, underwriting, policy administration, and operational support.
• Ability to facilitate workshops, map current and target-state processes, and translate insurance business challenges into practical AI solutions with measurable success criteria.
• Experience supporting AI product delivery, governance, operational risk, regulatory alignment, and responsible AI adoption within insurance environments.

• We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit , or follow us on Linked In and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, civil partnership status, disability, ethnic origin, family duties, gender…