Global Head of Claims Data & Analytics

Starr Insurance•New York, NY

23h

About The Position

Starr is a global leader in commercial insurance with over a century of expertise, empowering employees to innovate, make impactful decisions, and build lasting client relationships worldwide. The company fosters an entrepreneurial culture with accessible leaders, leveraging financial strength and industry experience to deliver complex solutions. Starr is a rapidly growing company that invests in its people. The role of Global Head of Claims Data & Analytics is a senior executive position responsible for defining and driving the enterprise-wide data and analytics strategy to enhance organizational decision-making and support profitable growth. This leader will champion a data-driven culture, ensuring the company utilizes advanced analytics, data governance, and business intelligence to improve claims management, key operational metrics, and customer experience.

Requirements

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.

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.