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Starr Insurance

Global Head of Claims Data & Analytics

Reposted 3 Days Ago
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In-Office
Parkside, New York, NY
Expert/Leader
In-Office
Parkside, New York, NY
Expert/Leader
The Global Head of Claims Data & Analytics will lead the data and analytics strategy, enhancing decision-making and improving claims management through advanced analytics and data governance.
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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.

Starr Insurance London, England Office

30 Fenchurch Avenue, 4th Floor, London, United Kingdom, EC3M 5

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