Analytics and AI Enablement Lead

Analytics and AI Enablement Lead - Chubb External Careers

• Develop the vision and roadmap for analytics and AI-driven initiatives.
• Conduct market research to identify opportunities and align features witess anh busind market needs.
• Partner with engineering, ML/data science, underwriting, marketing, sales, and legal stakeholders to shape product requirements from concept to release.
• Aligning use cases to business strategy and clear business outcomes.
• Presenting and running business-focused prioritization and governance of incoming demand working with Chubb’s executive leadership team.
• Translate business objectives into actionable product backlog items.
• Prioritize tasks based on impact, feasibility, and user value.
• Manage agile delivery through sprints, MVPs, and beta launches.
• Perform ongoing market and competitive analysis, customer interviews, and user testing.
• Leverage insights to refine product direction.
• Establish and track KPIs (e.g., adoption, retention, accuracy).
• Use data-driven insights to optimize and iterate on AI functionality.
• Ensure adherence to responsible AI practices by addressing bias, privacy, fairness, and regulatory concerns.
• Implement safeguards during model development and deployment.
• Support launch planning, marketing strategies, sales materials, training, and product evangelism.
• Keep stakeholders (executives, partners) informed of progress and impact.

• Understanding of data science, AI/ML fundamentals, including algorithms, model training and evaluation, NLP/CV, and model validation.
• Product & Domain Expertise
• 5–7+ years of experience in Product Management, ideally with AI/ML or data-driven products.
• Proficiency in agile methodologies (Scrum/Kanban) and backlog management.
• Analytical & Strategic Abilities
• Skilled in analyzing data, extracting insights, and managing ML development to drive decisions based on metrics and user feedback.
• Strong business acumen to position analytics and AI as a strategic solution to real-world problems, avoiding 'AI for AI’s sake'.
• Soft Skills
• Exceptional communication skills to bridge technical and non-technical stakeholders and craft clear PRDs/user stories.
• Empathy and leadership to effectively manage diverse, cross-functional teams with clarity and alignment.
• Adaptability and creativity to navigate the rapidly evolving analytics and AI landscape.

• 401k matching
• Health insurance
• Flight privileges
• MVPs, and beta launches

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