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Insights & Analytics Director - Claims

Pay
$175,000–200,000/year · BaseAnnual period assumed. Location-specific pay — pay source
Innovation with Control: Increased use of AI, automation and modern analytics approaches within Claims For this position, we currently expect to offer a base salary in the range of $175,000 to $200,000 (NY), 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.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Act as the main data and analytics partner for Claims leadership

  • Own delivery of Claims reporting, dashboards, analytics and AI capabilities

  • Move Claims MI from operational reporting toward predictive insights

  • Identify AI and automation opportunities across the Claims function

  • Align Claims and Reserving analytics priorities

From the employer’s posting
Act as the primary Data & Analytics partner for Claims leadership
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.
Identify opportunities to leverage AI, advanced analytics, automation and innovative technologies across the Claims function.
ensure alignment between Claims and Reserving analytics priorities

What you’ll bring

All qualifications

Core experience

  • Experience leading analytics, business intelligence, data or AI teams.
  • Strong understanding of insurance claims processes, operational performance measures and claims data.
  • Experience deploying AI or machine learning solutions into production within claims or insurance operations.
  • Experience partnering with Claims, Insurance Operations, Actuarial or Reserving functions within the insurance industry.
  • Ability to balance strategic thinking with practical execution.
  • Demonstrated ability to translate business strategy into practical analytics and AI solutions.
Qualification wording
Experience leading analytics, business intelligence, data or AI teams.
Strong understanding of insurance claims processes, operational performance measures and claims data.
Experience deploying AI or machine learning solutions into production within claims or insurance operations.
Experience partnering with Claims, Insurance Operations, Actuarial or Reserving functions within the insurance industry.
Ability to balance strategic thinking with practical execution.
Demonstrated ability to translate business strategy into practical analytics and AI solutions.
Apply at Axiscapital

Posting record

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Status in our records
Live
First seen by us
Oct 13, 202622 days ago
Recorded sightings
24
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$225K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 22

Similar jobs usually come down between day 7 and day 54.

At Axiscapital, jobs usually come down by about day 34.

From 7,937 similar postings that came down, and 7 of Axiscapital’s. Coming down is not always a hire.

Axiscapital is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
Hiring record

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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 Head of Insights & Analytics – Claims will lead the delivery of insights, analytics and AI solutions that 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.
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.

 

Experience

  • Experience leading analytics, business intelligence, data or AI teams.
  • 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.

 

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.

 

What we prefer you to have:

  • 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.
  • Education: An advanced degree in a relevant field (e.g., Data Science, Statistics, Business Analytics, Computer Science, or similar) is highly desirable, or equivalent professional experience.

 

Success in this role will be measured by:

  • Business Impact of Insights: Demonstrable improvements in claims outcomes, operational performance, claims handling efficiency and decision-making driven by insights, analytics and AI solutions.
  • Stakeholder Trust & Adoption: Strong engagement and satisfaction from Claims leadership and business stakeholders, with analytics products routinely used to support business decisions.
  • Delivery of Strategic Priorities: Successful delivery of agreed Claims analytics and AI priorities, with clear linkage to business value and strategic objectives.
  • Innovation with Control: Increased use of AI, automation and modern analytics approaches within Claims

 

For this position, we currently expect to offer a base salary in the range of $175,000 to $200,000 (NY), 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.  

Where this role is based in the United States of America, this role is [Exempt/Non-Exempt] for FLSA purposes.

This posting is for an existing vacancy.

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Pay
Innovation with Control: Increased use of AI, automation and modern analytics approaches within Claims For this position, we currently expect to offer a base salary in the range of $175,000 to $200,000 (NY), 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.
Location & working pattern

New York, NY

Working pattern and location restrictions need checking in the full posting.

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