Henry Hung

Built the first in-house AI-native products for a major insurer, projected to reach 1M+ users and $50M+ net income impact

• 0-to-1 product delivery: Developed 2 products (customer service agent, insurance agent copilot) from concept to full prototypes, as sole Product Manager leading a team of 10+ developers and designers
• Customer needs discovery: Improved self-service resolution by 10% and suggestion acceptance by 30%, by enhancing retrieval accuracy and answer relevance through targeted RAG and sub-agent routing; translated insights from 20+ user interviews into redesigned user journeys
• Product strategy & roadmap: Created a multi-year product strategy and implementation roadmap, securing client C-suite sponsorship to further build and scale both products with projected 1M+ users

Turned around 4 months of delay in product modernization effort with projected $300M+ annualized bottom-line impact for a Fortune 100 financial institution

• Agentic tool creation: Increased requirements development throughput >8X across 10+ product owners by building agentic tools converting legacy product documentation into epics and user stories
• Feature prioritization: Unblocked development delays by reprioritizing roadmap, cutting bottom 40% low-value nice-to-have features, and resolving 30+ cross-functional blockers
• Data-driven decision-making: Reduced decision turnaround time from >20 days to 7 days by launching a real-time Tableau decision dashboard and defining 9 north-star decision criteria

Directed customer experience transformation leading to 10%+ growth in priority customer segment for a large sports entertainment operator

• Growth experimentation: Outperformed customer growth target 2X by selecting the best customer value propositions based on 10+ A/B tests and focus groups
• Cross-functional product execution: Led 5 cross-functional agile pods through initiative launches such as a new customer acquisition program (3X conversion vs. past campaigns)