VP, Emerging Technology Education & Workforce Capability

Chubb • Philadelphia, PA

12h

About The Position

This role will serve as the primary advocate for emerging technology education and workforce capability across North America Claims, with a specific focus on artificial intelligence (AI) application. Reporting to the Head of Learning, this individual will closely collaborate with business partners to drive the adoption of technology-driven workforce solutions. As an overall technology expert, this individual will serve as a change advocate and educational resource in the design and delivery of impactful learning experiences in support of workforce enablement. This role requires close partnership with internal AI leadership and cross-functional teams to ensure alignment with emerging business and technological strategies.

Requirements

• Bachelor’s degree in Computer Science, Machine Learning, Natural Language Processing, or Data Analytics, with hands-on experience implementing AI solutions in a business environment.
• Approximately 2-4 years experience in designing and delivering technical or AI-related training programs.
• Familiarity with adult learning principles, instructional design, and learning technologies.
• Strong consulting, communication, project management, and stakeholder management skills.
• Demonstrated ability to translate complex technical concepts into practical business application.

Nice To Haves

• Experience in property and casualty insurance or claims operations strongly preferred.
• Experience working with diverse teams across disciplines and a commitment to inclusive, employee-centered innovative practices.

Responsibilities

• Technology Education & Workforce Capability Lead the design, delivery, and continuous improvement of technology education and enablement programs for Claims employees.
• Partner across the NA Claims Learning team to embed AI and emerging technology content into existing curricula.
• Leverage digital learning platforms and tools to maximize reach, engagement, and effectiveness of technology-related training.
• Serve as a resource for ongoing learning and upskilling related to AI, emerging technologies, and learning technologies.
• Provide technical expertise to the Claims organization on cutting-edge performance support capabilities.
• AI Strategy & Use Case Development Collaborate with Claims leadership and business units to define, prioritize, and refine practical AI use cases that improve claims processes and outcomes.
• Evaluate and recommend AI tools and technologies that align with business objectives and strategies.
• Develop business cases and success metrics for proposed AI initiatives in Claims.
• Change Management & Adoption Champion the adoption of AI and new technologies through targeted learning interventions, communication campaigns, and hands-on enablement.
• Design and implement change management strategies to ensure successful integration of AI solutions into daily workflows.
• Track, analyze, and report on learning outcomes, adoption rates, efficiency gains, and business impact.
• Stakeholder Engagement Act as the bridge between Claims Learning, business leaders, and the enterprise AI champion to ensure alignment of learning and AI strategies.
• Facilitate cross-functional collaboration to ensure knowledge sharing and best practices across business units.
• Represent the Claims division in enterprise-wide AI forums and initiatives.
• Consulting & Technical Leadership Provide expert consulting on AI strategy, solution design, and implementation, with a focus on workforce transformation and capability building.
• Stay current with industry trends, best practices, and regulatory developments in AI and insurance.
• Mentor and guide Claims staff and project teams on AI-related projects.
• Analyze data to assess the impact of AI on employee learning, instructional effectiveness, and engagement.
• Contribute to the development of an AI educational strategic plan and organizational guidelines for responsible innovation.

Benefits

• Chubb offers a comprehensive benefits package, more details on which can be found on our careers website .
• This role may also be eligible to participate in a discretionary annual incentive program.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level