VP, Global Claims Data & Analytics
Warren, NJ
Everest
At Everest, we underwrite opportunity for all stakeholders with protection and peace of mind in an increasingly complex and uncertain world.Title:
VP, Global Claims Data & AnalyticsCompany:
Everest Insurance CompanyJob Category:
ClaimsJob Description:
About Everest:
Everest Group, Ltd. (Everest), is a leading global reinsurance and insurance provider, operating for nearly 50 years through subsidiaries in North America, Latin America, the UK & Ireland, Continental Europe and Asia Pacific regions. Throughout our history, Everest has maintained its discipline and focuses on creating long-term value through underwriting excellence and strong risk and capital management. Our strengths include extensive product and distribution capabilities, a strong balance sheet, and an innovative culture. Our most critical asset is our people. We offer dynamic training & professional development to our employees. We also offer generous tuition/continuing education reimbursement programs, mentoring opportunities, flexible work arrangements, and Colleague Resource Groups.
About the Role:
This role (based in either our London or Warren, New Jersey offices) will be responsible for the development and implementation of a global claims data strategy that delivers reporting, insights and analytics to improve claim outcomes, inform risk selection, assist in the mitigation of operational risk, support audits and regulatory reporting, and inform broader transformational efforts. The Global Claims Data Lead is expected to interface with senior leadership and stakeholders, as well as participate in cross functional initiatives to deliver new capabilities including efforts to incorporate AI, Gen AI and automation into claims processes and workflows.
Role & Responsibilities (include but not limited to):
- Manage regional claims data teams, ensuring alignment and efficiency.
- Deliver comprehensive dashboarding and reporting solutions that drive insights and transparency.
- Collaborate with technical claims teams to deliver and refine performance metrics.
- Oversee the deployment and integration of third-party data sources.
- Track, manage and enhance data quality.
- Collaborate with the group level Data and Analytics and Automation teams to leverage predictive analytics and automated workflows.
- Implement a strategic vision for claims data, incorporating automation, generative AI, and large language models.
- Provide data support for regulatory reporting as well as internal and external audits, ensuring compliance and accuracy.
- Ensure that all data and analytics outputs are reviewed for clarity, quality and accuracy.
- Develop and present annual budget and staffing plans, aligning resources with strategic goals.
Qualifications:
- Bachelor’s degree in Data Science, Computer Science, Statistics, or related field; Master’s preferred.
- Proven experience in data management, with a focus on insurance claims data.
- Strong leadership experience in managing cross-regional teams.
- Deep understanding of predictive analytics and data quality management.
- Familiarity with Automation, Generative AI, and LLM technologies.
- Excellent communication and presentation skills, with the ability to influence stakeholders.
Knowledge, Skills & Competencies:
- Proficiency in data analytics tools and software, such as SQL, Python, R, and BI tools.
- Strong analytical and problem-solving skills, with an eye for detail and accuracy.
- Ability to develop and execute strategic plans, with a focus on innovation and improvement.
- Excellent project management skills, with the ability to manage multiple priorities.
- Adept at working collaboratively across teams and departments.
- Commitment to continuous learning and staying up to date with industry trends and best practices.
Our Culture
At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture.
- Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Diversity, Equity and Inclusion.
- Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.
All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.
#LI-Hybrid
#LI-AS1
Type:
RegularTime Type:
Full timePrimary Location:
Warren, NJAdditional Locations:
LondonEverest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data Analytics Data management Data quality Data strategy Generative AI LLMs Privacy Python R SQL Statistics
Perks/benefits: Career development Flex hours Insurance Transparency
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