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.

At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work. 

All qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations.

How does this role contribute to our collective success?
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.

What will you do in this role?

• 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, Architects, Technology experts and business product owners.
• Contribute technical analysis, solution design, backlog refinement, estimation, sprint planning, demonstrations, testing and retrospectives.
• Promote reuse of common data products, analytical methods, models and components across the wider Insights & Analytics community.
• Define and track outcome-focused success measures, using feedback and performance evidence to improve solutions after release.
• Explain analytical and AI concepts in clear business language and build confidence in the appropriate use of data-driven insights.
  

Success Measures
Success in this role will be measured through:

• Delivered solutions contribute to measurable improvements in underwriting effectiveness, portfolio insight, operational efficiency or customer outcomes.
• Solutions use the right level of analytical sophistication for the problem and are practical, explainable and fit-for-purpose.
• Strong collaboration and trusted working relationships are established across North America business teams, Data & Analytics and Technology.
• Insights and solutions are adopted and used within day-to-day business decisions and workflows.
• Analytical assets, methods and components are documented, reusable and continuously improved.
  
  

About you:
We encourage you to bring your own experience and expertise to the table. While there are qualifications and experiences we need you to have, we are open to discussing how your individual knowledge might help you fulfil this role and contribute to our goals.
What you need to have:

Experience

• A minimum of 7 years’ experience in analytics, business intelligence, data science or AI roles, with substantial hands-on experience analysing complex data and delivering data-driven solutions.
• A minimum of 3 years’ experience in the insurance or reinsurance industry, ideally partnering with underwriting, portfolio management or specialty insurance business functions.
• Demonstrated experience translating ambiguous business problems into structured analytical, data science or AI requirements and deliverables.
• Experience delivering analysis or analytical products from initial discovery and data exploration through to recommendation, implementation and adoption.
• Experience working as part of a cross-functional agile delivery team with data engineering, AI engineering, data science, architecture and technology colleagues.
• Experience communicating complex analysis and technical concepts to non-technical stakeholders through clear visualisations, written conclusions and presentations.
• Strong practical skills in SQL and at least one analytical programming language, such as Python or R.
• Good understanding of data science and machine learning methods, model evaluation and the lifecycle required to move analytical solutions into production.
• A strong problem solver who combines technical depth with commercial judgement and a focus on practical business outcomes.
• Clear and credible communicator who can present complex findings simply and adapt the message for technical and business audiences.
• Collaborative and delivery-focused, with the ability to work effectively across business, Data & Analytics and Technology teams.
• Comfortable working iteratively, managing ambiguity and balancing pace with quality, control and maintainability.
  

What we prefer you to have:

• Experience in North American specialty or commercial insurance underwriting analytics.
• Experience developing or deploying AI, machine learning or advanced analytical solutions into production in an underwriting or portfolio management context.
• Experience with cloud data and AI platforms and modern development practices, such as version control, testing and reusable code.
• Education: A degree or advanced degree in a relevant field, such as Data Science, Statistics, Mathematics, Economics, Business Analytics, Computer Science or a related discipline, or equivalent professional experience.

Role Factors:
Be in the office 3 days per week

For this position, we currently expect to offer a base salary in the range of $160,000 to $185,000. Your salary offer will be based on an assessment of a variety of factors including your specific experience and work location. 

In addition, you will be offered competitive target incentive compensation, with awards based on overall corporate and individual performance. On top of this, you will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid vacation, and much more.  

This posting is for an existing vacancy.