Group Head – AI

Everest

Execution-oriented AI leader driving development and adoption of AI capabilities at Everest Global Services. Identifying high-value AI opportunities and collaborating cross-functionally to deliver measurable business outcomes.

Posted 7/9/2026full-timeWarren • New Jersey, New York • 🇺🇸 United StatesLead💰 $250,000 - $310,000 per yearWebsite

About the role

Key responsibilities & impact

Define and lead the enterprise AI strategy aligned to business objectives and priorities.
Identify and prioritize AI value creation opportunities for underwriting, pricing, claims, and operations, partnering with business unit leaders to identify use cases with the highest ROI and competitive advantage potential.
Build an industry leading AI organization by attracting, developing, and retaining exceptional talent.
Collaborate closely with the technology and data teams (through dotted-line relationships) to scope requirements, define data and infrastructure needs, and ensure timely delivery of AI capabilities that support business objectives.
Drive adoption and outcomes of AI solutions by working with underwriting, claims, and actuarial teams to embed AI insights into decision-making processes, measure business impact, and drive continuous improvement.
Support organizational alignment and change management to drive AI adoption and business integration.
Own AI strategy alignment with enterprise risk and compliance frameworks, working with Legal, Risk, and Compliance to ensure all AI initiatives meet regulatory requirements and maintain model transparency.
Evaluate emerging AI technologies, vendor solutions and market trends relative to the (re)insurance industry.

Requirements

What you’ll need

At least 10+ years of leadership experience in strategy transformation, technology, analytics or AI related functions.
Experience leading enterprise initiatives within (re)insurance, financial services, or similarly regulated industries preferred.
Strong understanding of AI, machine learning, generative AI, automation, and data-driven operating models.
Technical fluency in AI, including an understanding of the infrastructure and technologies that enable AI capabilities.
Demonstrated ability to bridge business strategy and technical execution.
Experience collaborating across insurance segment/product leadership, technology, and operations teams.
Bachelor’s degree in science, engineering, or math.
An advanced degree is preferred.

Benefits

Comp & perks

health insurance coverage
employee wellness program
life and disability insurance
401k match
retirement savings plan
paid holidays
paid time off (PTO)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AIMachine LearningGenerative AIAutomationData-Driven Operating ModelsTechnical Fluency in AIStrategy TransformationAnalyticsInfrastructure for AIBusiness Strategy Execution

Soft Skills

Change ManagementTalent DevelopmentCollaborationCommunicationContinuous Improvement

Certifications

Bachelor’s Degree in ScienceBachelor’s Degree in EngineeringBachelor’s Degree in MathAdvanced Degree Preferred