Henry Hung

Resume

AI-native product manager with a computer science background and experience leading 0-to-1 product development

Experience


Engagement Manager

McKinsey & Company — Boston, MA

Led 0-to-1 AI product development as sole Product Manager for cross-functional teams of more than 10 people.

Built and piloted an agentic co-pilot with 500 relationship managers

  • Product development: Reduced relationship-manager outreach preparation from 30 minutes to under 5 by developing a co-pilot that proactively plans customer engagement and drafts outreach messages, based on a need uncovered in 20+ user interviews
  • Product tradeoff decisions: Increased suggestion acceptance by 30 percentage points by setting a confidence threshold and prioritizing relevance over suggestion frequency
  • Business case sizing: Developed a business case projecting $35M in benefits from increased customer-facing time and lower administrative costs, securing C-suite funding to scale to 5,000 relationship managers

Prototyped an AI customer service agent targeting 1M+ customers

  • Problem definition: Defined the product vision to reduce low-quality chatbot answers and human handoffs from the previous-generation product, grounded in insights from 20+ user interviews
  • AI product optimization: Improved self-service resolution by 10 percentage points by building a targeted LLM evaluation framework to diagnose failure modes, then redesigning the query system with RAG and sub-agent routing
  • Product roadmap: Identified 8 prioritized capabilities based on potential impact, technical feasibility and customer feedback; created an executive-endorsed multi-year roadmap

Recovered a four-month schedule delay in product modernization for a Fortune 100 company

  • 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 by reprioritizing the roadmap, cutting the lowest-value 40% of planned 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 prioritization criteria

Senior Business Analyst

McKinsey & Company — Boston, MA · Hong Kong

Earned top 5% ratings in every review and a fast-track promotion 6 months ahead of the standard timeline.

Revamped the customer journey for a financial services app, improving customer satisfaction by 10 percentage points

  • Product delivery: Redesigned the onboarding flow and launched a personalized feed based on ideas from 10+ customer focus groups; developed requirements from scratch and led launch to 50,000+ users

Launched a customer acquisition program growing priority-segment revenue by 10%+

  • Growth experimentation: Selected value propositions based on 10+ A/B tests, resulting in 3X conversion versus past campaigns

Education


Candidate for Master of Business Administration

Harvard Business School — Cambridge, MA

  • Built a section app to accelerate peer connections and streamline communications; it was adopted by approximately 90% of the section, with other sections requesting replication. Elected section Tech Representative

Master of Computer and Information Technology (GPA: 4.0/4.0)BA Philosophy & Political Science, Phi Beta Kappa, Summa Cum Laude

University of Pennsylvania — Philadelphia, PA

  • Courses: Computer systems (Head TA), artificial intelligence, machine learning, product design
  • Co-founded and led the Penn Philosophy Society; chairperson of Penn Manuscript Collective

Technical


Python, Java, SQL, Tableau · Figma, Jira, Miro, Confluence, Trello · Claude Code, Codex, Cursor · RAG, harness engineering, multi-agent orchestration, LLM evaluations, A/B testing, conjoint analysis

Personal


Fluent in English, Mandarin, and Cantonese. Enjoy trail running (100 km Trailwalker race), hiking (70 km Patagonia trek), soccer (led McKinsey Boston team), and reading — especially the history of business and technology.