VP, Head of AI & Digital Experience

ChubbReadington Township, NJ
$153,000 - $187,000

About The Position

The VP of Artificial Intelligence owns the full AI agenda for our digital business to help accelerate delivery, analytics and CX/MKT skills for 3 growth products (Renters, Pets, Jewelry/Watches). You are a builder who can craft a strategy through defining, shipping, and operating primarily as a senior individual contributor with a multiplier mindset. You will prototype, deploy, and iterate on solutions yourself while coaching the teams around you to adopt and extend what you build. The right candidate is an entrepreneur who can collaborate and build relationships across a large company (Operations, IT, AI, Digital Studio): someone who has the tenacity to find the shortest path to a working solution, ships it, learns from production, and scales what works. You are equally comfortable presenting a roadmap to senior leaders and debugging a data pipeline on a deadline. You do not wait for perfect conditions. You build with what exists, document what you learn, and raise the bar for everyone who works alongside you. This role is accountable for working across teams and with external partners to own AI Development Life Cycle (AI-DLC) for 3 growth products to help our digital businesses achieve speed to value. You will own the extension and continuous improvement of that framework across Pets (Healthy Paws), Renters, Jewelry and Watches.

Requirements

  • Senior individual contributor with a multiplier mindset.
  • Ability to prototype, deploy, and iterate on solutions yourself.
  • Ability to coach teams around you to adopt and extend what you build.
  • Entrepreneurial mindset.
  • Ability to collaborate and build relationships across a large company (Operations, IT, AI, Digital Studio).
  • Tenacity to find the shortest path to a working solution.
  • Ability to learn from production and scale what works.
  • Comfortable presenting a roadmap to senior leaders.
  • Comfortable debugging a data pipeline on a deadline.
  • Ability to build with what exists.
  • Ability to document what you learn.
  • Accountable for working across teams and with external partners to own AI Development Life Cycle (AI-DLC) for 3 growth products.
  • Own the extension and continuous improvement of the AI-DLC framework.
  • Stay close enough to the code, data, and infrastructure to make real architectural calls, unblock others, and ensure production systems are safe and maintainable.
  • Tie every initiative to a concrete business metric.
  • Design for extensibility across all three product lines.
  • Ensure every capability shipped is reusable, governable, and transferable.
  • Manage a portfolio of AI capabilities across CX, Digital, and Marketing.
  • Maintain quality and governance across AI skills.
  • Coach teams to use AI skills well so AI adoption scales without becoming a bottleneck.
  • Think in systems, diagnosing problems at the level of workflows, incentives, and data infrastructure.
  • Design solutions that hold up when volume scales and team composition changes.
  • Cross-functional partnership is essential for success in this role, not optional.
  • Build and maintain governance, evaluation, and monitoring practices that keep all usage safe, responsible, auditable, and aligned with Chubb standards.
  • Operate within and strengthen the existing AI-DLC framework.

Nice To Haves

  • Experience with Generative AI solutions.
  • Experience with Customer Experience (CX) AI applications like automated ticket triage, AI-drafted support responses, Voice of the Customer (VOC) analysis, self-service voice and chat assistants, and post-interaction summarization.
  • Experience with Digital AI applications like on-site search and recommendation engines, conversational product discovery and personalization, next-best-action prediction, A/B test analysis, content tagging, and metadata enrichment.
  • Experience with Marketing AI applications like generative copy and creative variants, audience segmentation, campaign performance forecasting, SEO/AEO content strategy, lead scoring, and churn prediction.

Responsibilities

  • Prototype, deploy, and harden AI/ML and generative AI solutions. Stay close enough to the code, data, and infrastructure to make real architectural calls, unblock others, and ensure production systems are safe and maintainable.
  • Define the AI strategy across analytics, ML, and generative AI and tie every initiative to a concrete business metric. Distinguish between experiments that teach and investments that scale. Prioritize relentlessly.
  • Ship working solutions in weeks, not quarters, while designing for extensibility across all three product lines. Avoid one-off builds. Every capability you ship should be reusable, governable, and transferable to the teams that will operate it after you move on.
  • Own a library of reusable AI skills these teams can adopt and operate independently. Prioritize which to build, maintain quality and governance across them, and coach teams to use them well so AI adoption scales without becoming a bottleneck.
  • Diagnose problems at the level of workflows, incentives, and data infrastructure, not just models. Design solutions that hold up when volume scales and team composition changes.
  • Partner with Product, Engineering, Data, Operations, Risk, and business unit leaders. Translate ambiguous business problems into scoped technical solutions and bring stakeholders along.
  • Build and maintain governance, evaluation, and monitoring practices that keep all usage safe, responsible, auditable, and aligned with Chubb standards. Operate within and strengthen the existing AI-DLC framework.

Benefits

  • Equal employment opportunity
  • Compliance with all laws and regulations pertaining to equal employment opportunity
  • Employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law.
  • Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees.
  • Prohibition of all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.
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