Joanne Hung

About Joanne Hung

Privacy & AI governance leader with 10+ years of experience bridging law, technology, and data protection. Skilled in privacy-enhancing technology design, agentic feature development, and data governance strategies for model training, fine-tuning, and anonymization. Proven track record of shaping global frameworks that balance compliance, innovation, and user trust.I am a senior privacy and data governance leader with proven expertise guiding global organizations through the evolving intersection of technology, regulation, and responsible innovation. As a certified privacy professional (CIPP/US) and Privacy Engineering Lead at Google, I drive privacy strategy across first-party products and oversee reviews of cutting-edge features, ensuring that user trust, compliance, and business priorities align. I also contribute to responsible AI working groups, helping translate complex regulatory and ethical requirements into actionable practices for AI-driven technologies.Beyond governance and policy, I partner with product and engineering teams to design and implement privacy-enhancing technologies (PETs) directly into product architectures — embedding privacy by design at scale. My work includes agentic feature design, supporting model training and fine-tuning with appropriate safeguards, and leading data pseudonymization and anonymization strategies that protect user information throughout model development and deployment.My career spans more than a decade across law, privacy engineering, and data protection strategy. I have built and scaled privacy programs, led the implementation of personal information management systems (PIMS), and designed global policies and procedures for data subject rights, breach response, and cross-border data flows. I have guided organizations through international standards and certifications, enabling both compliance and operational excellence.As a licensed attorney in Taiwan with deep experience in technology and IP transactions, I bring a unique perspective on how legal, technical, and commercial considerations intersect. This foundation allows me to partner effectively with executives, engineers, and regulators to craft governance models that are practical, scalable, and resilient.I am passionate about advancing privacy and AI governance globally — creating strategies that not only meet regulatory expectations but also enable innovation and long-term business value. My focus is on empowering organizations to lead responsibly in the age of AI and data-driven technology.

Experience

1. Privacy Engineer Manager

   Google

   Jul 2022 — Present · Seattle, WA, US

   Lead privacy engineering for Google Devices & Services, driving strategy, governance, and privacy by design across first-party products. Manage and grow a privacy engineering team, partner with product and engineering leadership, and contribute to responsible AI working groups to guide ethical feature development- Embed privacy-enhancing technologies (PETs) into product architecture to balance compliance and innovation- Shape AI and data governance, including agentic feature design, model training/fine-tuning, and data pseudonymization/anonymization strategies- Conduct privacy threat modeling, risk assessments, and incident response to protect user trust at scale.

Education

• National Chengchi University

  Bachelor of Law, law

  1995 — 1999

• University of Washington School of Law

  LL.M., Law

  2008 — 2009

• National Chengchi University

  Master of Law, law

  1999 — 2002