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Head of Insights & Analytics – Claims

Job in Clifton, Passaic County, New Jersey, 07015, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-09-10
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below
  • 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
  • Own delivery of Claims-focused reporting, dashboards, analytics solutions and AI-enabled capabilities
  • Drive Claims MI evolution from operational reporting toward predictive and prescriptive insights
  • Champion self-service analytics and scalable data products
  • Partner with Reserving leadership to align Claims and Reserving analytics priorities
  • Support a consistent view of claims performance, loss development, claims trends and portfolio movements
  • Identify opportunities for AI, advanced analytics, automation and innovative technologies across Claims
  • Work with Analytics, AI Delivery and Insights Delivery teams to implement sustainable solutions
  • Promote responsible, controlled and value-focused AI adoption
  • Link analytics and AI initiatives to business outcomes, define success measures and track delivered value
  • Build trusted relationships with senior Claims leaders and business stakeholders
  • Communicate complex analytical concepts to non-technical audiences
  • Lead and develop a team of Insights & Analytics professionals
  • Encourage reuse of common solutions, patterns and best practices
  • Ensure solutions follow AXIS data governance, AI governance and information management standards
  • Partner with Data Governance, Data Quality, Data Operations and Platform teams to ensure trusted data foundations
Requirements
  • 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
  • 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
  • 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
Core Competencies

Demonstrates expertise in leading analytics and AI initiatives within the insurance industry, focusing on claims processes and delivering measurable business outcomes. Capable of translating complex business needs into actionable insights and fostering collaboration among diverse teams.

Highest-signal resume keywords
  • Analytics Leadership
  • Claims Process Expertise
  • AI Solutions Development
  • Stakeholder Management
  • Business Intelligence Technologies
ATS Optimization Keywords
Hard Skills
  • Data Analytics
  • AI Capabilities
  • Business Intelligence
  • Predictive Analytics
  • Operational Reporting
  • Data Governance
  • Analytics Solutions Delivery
  • Performance Measurement
  • Automation Technologies
  • Insights Development
Soft Skills
  • Communication Skills
  • Strategic Thinking
  • Collaboration
  • Relationship Building
  • Change Management
Industry Keywords
  • Insurance Industry
  • Claims Management
  • Reserving Functions
  • Actuarial Practices
  • Data Quality
  • Data Operations
  • Matrix Organization
  • Operational Performance Measures
  • Self-Service Analytics
  • Innovative Technologies
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