> Markdown version of [/jobs/ext/2878395-head-of-insights-analytics-claims-organization](https://www.wearedevelopers.com/jobs/ext/2878395-head-of-insights-analytics-claims-organization). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Head Of Insights & Analytics - Claims Organization - **Company:** AXIS Capital - **Location:** Alpharetta, GA, United States - **Experience:** Expert - **Salary:** $175,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Data Governance, Information Management, DataOps, Data Analytics - **Published:** September 13, 2026 - **Apply:** https://www.careerbuilder.com/job-details/head-of-insights-analytics-claims-alpharetta-ga--fbf2f141-da19-4770-bd37-79711e7aaaba ## About the Role * Experience leading analytics, business intelligence, data or AI teams. * Experience partnering with Claims, Insurance Operations, Actuarial or Reserving functions within the insurance industry. * 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. Knowledge & 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 organisation. Leadership Characteristics * 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., Actuarial Skills, Alliance/Partner Management, Analysis Skills, Artificial Intelligence (AI), Automation, Best Practices, Business Intelligence, Business Intelligence Software, Business Skills, Business Strategy, Business Support, Channel Strategies, Claims Processing, Communication Skills, Customer Service Management, Customer Support/Service, Data Analysis, Data Quality, Entrepreneurship, Establish Priorities, Finance, Financial Trend Analysis, Health Plan, Insurance, Insurance Claims, Leadership, Matrix Management, Operational Measurement, Operational Strategy, Operations Processes, Performance Metrics, Program Planning, Reinsurance, Reporting Dashboards, Risk, Strategic Analysis, Team Building, Team Player, Technical Delivery, Trend Analysis, Underwriting ## Description As the senior Insights & Analytics leader aligned to the Claims organisation, you will act as a strategic partner to Claims leadership, ensuring that data and AI investments are focused on measurable business value. You will work closely with the Claims, Reserving, Actuarial, Finance, Underwriting and Transformation teams to develop a coherent view of claims performance, emerging trends and opportunities for improvement across the claims lifecycle. The role combines business partnership, people leadership and delivery accountability, ensuring that AXIS continues to evolve its use of analytics and AI to drive better claims outcomes and operational excellence. What will you do in this role? Strategic Partnership with Claims Leadership * 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 prioritised portfolio of insights, analytics and AI initiatives Lead Delivery of Claims Insights & Analytics * 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. Partner Closely with Reserving * 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. Lead AI and Automation Opportunities * 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. Deliver Business Value * 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. Stakeholder Engagement and Influence * 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. Leadership and Team Development * 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. Governance and Standards * 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. ## Related Videos - [AI in High-Stakes Industries: Lessons Learned](https://www.wearedevelopers.com/videos/100253-ai-in-high-stakes-industries-lessons-learned) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) - [From Global Capability Centers to AI-Powered Command Centers](https://www.wearedevelopers.com/videos/100096-from-global-capability-centers-to-ai-powered-command-centers) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)