Back to jobs

Global Head of Claims Data & Analytics

399 Park Avenue-New York, NY

Pay
Pay not listedSimilar roles state $153K–$225K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Starrcompanies

What you’ll work on

Full posting
  • Lead and mentor a global claims data and analytics team

  • Design and run the enterprise data and analytics strategy

  • Oversee data governance, quality, security and compliance

  • Drive predictive modeling and machine learning for claims and fraud detection

  • Set KPIs, dashboards and reporting frameworks

From the employer’s posting
Lead, develop, and mentor a high-performing global claims data & analytics team
Design and implement a comprehensive data and analytics strategy aligned with the organization’s vision and business objectives
Oversee enterprise data governance, quality, security, and compliance initiatives
Drive the adoption of predictive modeling, machine learning, and advanced analytics solutions for, claims, , fraud detection, and operational efficiency
Establish key performance indicators (KPIs), metrics dashboards, and reporting frameworks to measure progress and impact

What you’ll bring

All qualifications

Core experience

  • Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Actuarial Science, or a related field.
  • 10+ years’ progressive leadership experience in claims data & analytics, preferably within the insurance, financial services, or risk management sectors.
  • Proven expertise operationalizing data-driven solutions.
  • Deep understanding of casualty and property insurance products, global markets, and regulatory environments.
  • Hands-on experience with advanced analytics, statistical modeling, data governance, big data platforms and visualization tools (e.g., Power BI, Tableau).
Qualification wording
Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Actuarial Science, or a related field.
10+ years’ progressive leadership experience in claims data & analytics, preferably within the insurance, financial services, or risk management sectors.
Proven expertise operationalizing data-driven solutions.
Deep understanding of casualty and property insurance products, global markets, and regulatory environments.
Hands-on experience with advanced analytics, statistical modeling, data governance, big data platforms and visualization tools (e.g., Power BI, Tableau).
Education & alternatives
Qualifications - Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Actuarial Science, or a related field. - 10+ years’ progressive leadership experience in claims data & analytics, preferably within the insurance, financial services, or risk management sectors.

Tools in this posting

  • Power BI
  • Tableau
Source — Tool mentions in context
- Deep understanding of casualty and property insurance products, global markets, and regulatory environments. - Hands-on experience with advanced analytics, statistical modeling, data governance, big data platforms and visualization tools (e.g., Power BI, Tableau). - Exceptional leadership, communication, and stakeholder management skills.

Posting record

Report an error

Open 5 monthsWe first saw this posting 176 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
May 8, 2026 · 176 days ago
Recorded sightings
231
Last seen by us
Oct 30, 2026
Employer says posted
Apr 20, 2026

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

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

Complete your application on starrcompanies.wd1.myworkdayjobs.com. The employer’s form will show what is required.

Already applied? Track this application

Job description

View original posting ↗

Join Starr, a global leader in commercial insurance with over a century of expertise. We empower our employees to innovate, make impactful decisions, and build lasting client relationships worldwide. At Starr, you'll work in an entrepreneurial culture alongside accessible leaders, leveraging our financial strength and vast industry experience to deliver solutions for our clients, no matter how complex. Grow your career with a rapidly growing company that invests in its people and their ability to drive real progress.

We are seeking a seasoned and visionary leader to serve as our Global Head of Claims Data & Analytics. This senior executive will define and drive our enterprise-wide data and analytics strategy, enhancing organizational decision-making and supporting profitable growth. The role will champion a data-driven culture, ensuring the company leverages advanced analytics, data governance, and business intelligence to improve claims management,  key operational metrics  and customer experience.

Key Responsibilities

  • Lead, develop, and mentor a high-performing global claims data & analytics team, fostering collaboration across underwriting, claims, actuarial, finance, and IT.
  • Design and implement a comprehensive data and analytics strategy aligned with the organization’s vision and business objectives.
  • Oversee enterprise data governance, quality, security, and compliance initiatives, ensuring data integrity and regulatory compliance (e.g., GDPR, CCPA).
  • Drive the adoption of predictive modeling, machine learning, and advanced analytics solutions for, claims, , fraud detection, and operational efficiency.
  • Participate in the selection and integrate of leading-edge data technologies, platforms, and tools to support scalable and agile analytics infrastructure.
  • Foster a data-driven culture by promoting analytics literacy and best practices acrossthe global claim organization.
  • Establish key performance indicators (KPIs), metrics dashboards, and reporting frameworks to measure progress and impact.
  • Partner with external vendors, data providers, and technology partners to expand data sources and capabilities.
  • Stay ahead of industry trends, regulatory changes, and disruptors in data & analytics within the Insurance sector.

Qualifications

  • Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Actuarial Science, or a related field.
  • 10+ years’ progressive leadership experience in claims data & analytics, preferably within the insurance, financial services, or risk management sectors.
  • Proven expertise operationalizing data-driven solutions.
  • Deep understanding of casualty and property insurance products, global markets, and regulatory environments.
  • Hands-on experience with advanced analytics, statistical modeling, data governance, big data platforms and visualization tools (e.g., Power BI, Tableau).
  • Exceptional leadership, communication, and stakeholder management skills.
  • Strong project management,vendor management and communication skills.

Starr is an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

399 Park Avenue-New York, NY

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

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.