【TW Life】Senior Manager, Transformation Dept.

Role OverviewThis role sits within the Technology Division's AI & Innovation Center and is responsible for leading end-to-end AI product strategy, requirements definition, and post-launch optimization. The Senior AI PM must be capable of independently driving large-scale AI initiatives, communicating product vision to C-level stakeholders, and possessing sufficient technical depth to co-design system architecture with AI engineers and data scientists. This role also owns the AI governance framework, ensuring AI decisions comply with regulatory requirements, ethical standards, and Chubb's business objectives.Key Responsibilities• Lead AI product roadmap development, integrating business strategy, technical feasibility, and regulatory requirements• Independently produce product specifications for complex AI systems — including multi-agent architectures, RAG systems, and workflow automation• Define the AI Observability Framework: design model drift detection mechanisms and incident response playbooks• Lead cross-functional AI programs (claims, underwriting, customer service), synthesizing requirements from business, legal, compliance, and IT• Design and implement A/B testing frameworks for AI features; build a data-driven product decision culture• Ensure AI products comply with relevant regulations (e.g., FSC, GDPR); lead AI ethics and fairness reviews• Coach and develop Junior PMs; build AI product capabilities across the product team• Present AI product progress, outcomes, and risks to senior leadership; influence the organization's AI investment decisions Education & ExperienceBachelor's degree or above in Computer Science, Information Systems, Business, Statistics, or a related field; Master's degree preferred5+ years of product management experience, with at least 2 years as the primary PM on AI/ML productsTechnical SkillsDeep understanding of LLM / Agentic AI architecture: RAG, Tool Calling, Prompt Engineering, Fine-tuning, QuantizationAbility to write product specifications for multi-agent systems — including agent collaboration, failure modes, and graceful degradation strategiesFluent in interpreting AI performance metrics in business terms: Precision, Recall, Calibration, Drift DetectionKnowledge of AI ethics and regulatory requirementsFamiliarity with MLOps concepts: model versioning, A/B testing, canary releases, model monitoringAbility to perform basic data analysis with SQL to support product decisionsPersonal AttributesStrong product ownership mindset; able to set clear direction and drive execution in ambiguous environmentsAble to communicate complex AI concepts to C-level and business stakeholders without technical jargonData-driven decision habits; able to design measurable success criteriaOutstanding cross-functional and cross-cultural influencing skills; skilled at building consensusStrong written and verbal communication in English; Chinese proficiency is a plusNice to HaveDeep experience with AI products in insurance (claims, underwriting, actuarial) or financial servicesTrack record as PM on enterprise-scale AI systems (>100K users)Experience designing AI governance frameworks or Responsible AI practicesExperience with AI-related regulatory submissions or regulator communicationsRelevant certifications: CSPO, PMI-ACP, Google Professional ML Engineer, or equivalentFamiliarity with RPA (UiPath, Power Automate) and AI-integrated product design