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About the Role
The Head of Insights & Analytics – Claims will lead the delivery of insights, analytics, and AI solutions to support Claims teams in making better, faster, and more informed decisions. This role is accountable for translating Claims priorities into impactful data products, analytics solutions, and AI-enabled capabilities that improve claims outcomes, operational efficiency, customer service, leakage management, reserving effectiveness, and operational performance. The role combines business partnership, people leadership, and delivery accountability, ensuring AXIS continues to evolve its use of analytics and AI to drive better claims outcomes and operational excellence.
Responsibilities
- Act as the primary Data & Analytics partner for Claims leadership
- Develop a deep understanding of Claims priorities, challenges, operating models, and strategic objectives
- Translate business needs into a prioritized portfolio of insights, analytics, and AI initiatives
- Own the delivery of Claims-focused reporting, dashboards, analytics solutions, and AI-enabled capabilities
- Drive the evolution of Claims MI from operational reporting towards predictive and prescriptive insights
- Champion self-service analytics and scalable data products that enable Claims teams to access trusted information when needed
- Work closely with the Insights & Analytics Lead - Reserving and Reserving leadership to ensure alignment between Claims and Reserving analytics priorities
- Support a consistent view of claims performance, loss development, claims trends, and portfolio movements across Claims and Reserving
- Identify opportunities to leverage AI, advanced analytics, automation, and innovative technologies across the Claims function
- Work with Analytics, AI Delivery, and Insights Delivery teams to ensure solutions can be implemented effectively and sustainably
- Promote responsible, controlled, and value-focused adoption of AI capabilities within Claims
- Ensure analytics and AI initiatives are clearly linked to business outcomes
- Define measures of success and track the value delivered by solutions
- Promote a culture of continuous improvement and evidence-based decision making
- Build trusted relationships with senior Claims leaders and business stakeholders
- Act as a bridge between business priorities and technical delivery teams
- Communicate complex analytical concepts in a way that is understandable and actionable for non-technical audiences
- Lead and develop a team of Insights & Analytics professionals aligned to the Claims value stream
- Encourage reuse of common solutions, patterns, and best practices across the wider Insights & Analytics function
- Ensure solutions are delivered in line with AXIS data governance, AI governance, and information management standards
- Partner with Data Governance, Data Quality, Data Operations, and Platform teams to ensure Claims solutions are built on trusted data foundations
Requirements
- A minimum of 10 years’ experience in analytics, business intelligence, data, or AI, including at least 3 years leading teams
- Experience partnering with Claims, Insurance Operations, Actuarial, or Reserving functions within the insurance industry
- A minimum of 3 years’ experience in the insurance or reinsurance industry, partnering with Claims, Insurance Operations, Actuarial, or Reserving functions
- Demonstrated ability to translate business strategy into practical analytics and AI solutions
- Experience delivering measurable business outcomes through the use of analytics, data products, or AI capabilities
- Experience directly managing a team of at least 6 people, including team leads or senior individual contributors
- At least 3 years’ experience in claims analytics within specialty insurance or reinsurance
- Experience deploying AI or machine learning solutions into production within claims or insurance operations
Skills
- Strong understanding of insurance claims processes, operational performance measures, and claims data
- Strong stakeholder management and communication skills
- Ability to balance strategic thinking with practical execution
- Knowledge of modern analytics, business intelligence, and AI technologies
- Ability to operate effectively within a complex, matrix organization
- Business-focused and outcome-oriented
- Collaborative and relationship-driven
- Able to simplify complexity and provide clear direction
- Comfortable leading change and challenging the status quo
Location
- NY
- United States of America
Work Type
- Exempt
Experience Level
- 10+ years experience in analytics, business intelligence, data, or AI
- 3+ years leading teams
- 3+ years experience in the insurance or reinsurance industry
- 3+ years experience managing a team of at least 6 people
Education Level
- Advanced degree in a relevant field (e.g., Data Science, Statistics, Business Analytics, Computer Science, or similar) is highly desirable, or equivalent professional experience
Salary/Compensations
- $175,000 to $200,000
Benefits
- Competitive target incentive compensation
- Medical plans for you and your family
- Health and wellness programs
- Retirement plans
- Tuition reimbursement
- Paid vacation
About the Company
- AXIS Capital is 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 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.
Equal Opportunity
- 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.