More jobs:
VP, Emerging Technology Education & Workforce Capability
Job in
Philadelphia, Philadelphia County, Pennsylvania, 19107, USA
Listed on 2026-03-01
Listing for:
Chubb
Full Time
position Listed on 2026-03-01
Job specializations:
-
IT/Tech
AI Engineer, Data Analyst
Job Description & How to Apply Below
This role requires close partnership with internal AI leadership and cross-functional teams to ensure alignment with emerging business and technological strategies.
Key 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.
* 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.
* 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.
The pay range for the role is $123,900-$180,600. The specific offer will depend on an applicant's skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.
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