Insights & Analytics Lead - North America

This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry.

Data, analytics and AI are critical enablers of AXIS' strategic ambitions. The Insights & Analytics Lead – North America will be a hands‑on technical leader who turns business questions into high‑quality insights, analytical solutions and clear recommendations for North American underwriting teams. This role is responsible for translating business requirements into well‑defined data, analytics, data science and AI requirements. You will explore and analyse large and complex data sets, identify trends and opportunities, determine the most appropriate analytical approach, and communicate conclusions in ways that support better, faster and more informed decisions.

Working within an agile delivery model, you will partner closely with business stakeholders, Data Engineers, Data Scientists, AI Engineers, Architects and Technology experts to design, test and deliver solutions that are practical, scalable and aligned to measurable business outcomes. Reporting to the Insights & Analytics Director – North America, you will combine technical depth, business understanding and strong delivery skills.

You will provide day‑to‑day technical leadership on initiatives while remaining personally involved in analysis, solution design and the development of analytical outputs.

• Translate Business Needs into Analytical and AI Requirements Partner with North American underwriting and business teams to understand business objectives, decision points, pain points and opportunities.
• Translate business requirements into clear data, analytics, data science and AI requirements, including hypotheses, data needs, analytical methods, success measures and delivery acceptance criteria.
• Challenge and refine requests to ensure the proposed solution addresses the underlying business problem and is proportionate to the value and complexity involved.
• Recommend the right approach for each problem, whether descriptive or diagnostic analysis, reporting and visualisation, predictive modelling, machine learning, generative AI or workflow automation.
• Deliver Hands‑On Analysis and Insight
• Frame analytical questions, develop hypotheses, select appropriate methods and validate findings before drawing conclusions.
• Convert analysis into practical recommendations, explaining the business implications, limitations and actions required.
• Identify opportunities where advanced analytics, machine learning, generative AI or agentic capabilities could improve underwriting effectiveness, portfolio management, operational efficiency or customer outcomes.
• Shape solution concepts and technical requirements, including use cases, user journeys, required data, model or AI behaviour, controls, evaluation criteria and expected business value.
• Rapidly prototype analytical and AI‑enabled solutions to test feasibility and value before wider development.
• Work with Data Scientists and AI Engineers to support model development, testing, validation, deployment and ongoing performance monitoring.
• Ensure solutions are explainable, fit‑for‑purpose and developed in line with AXIS data, AI governance, security and responsible AI requirements.
• Work as an active member of cross‑functional agile delivery teams, partnering closely with Data Engineers, AI Engineers, Data Scientists,…