I specialize in crafting human-centered, data-driven experiences within highly ambiguous, technical, and complex spaces
ABOUT
Joanne Lo is a Lead Product Designer, focused on AI and emerging technologies, with 9+ years of experience across enterprise (B2B SaaS) and consumer products. She is known for bringing clarity to ambiguous, technically complex problems through strong systems thinking, product strategy, and cross-functional leadership.
EXPERIENCE
2021 - 2025
2019 - 2021
UX Designer
UX Designer
IBM (Watson)
2013-2017
2017-2019
Researcher / Student
Experience Designer
Carnegie Mellon University
PNC Bank
Featured Work
Google | Cloud Security
Cloud KMS Autokey
2023 - 2024 • Lead UX Designer
PRODUCT DEFINITION
SYSTEMS THINKING
INFLUENCE
Despite being required for compliance regulations and other security needs, Customer-managed encryption keys (CMEK) were known to be notoriously complex to use and resulted in exponential operational toil.
I led end-to-end UX strategy, product definition, and design of a new automated CMEK experience, now adopted by 13+ Google Cloud products, protecting 32,000+ (and counting) customer resources, leading to reducing years of customer toil, and increasing CMEK adoption by 140+%.
Google | Cloud Security
Gemini integration for data protection
2024 • Lead UX Designer
AI
SYSTEMS THINKING
STRATEGY / VISIONING
With the introduction of the new horizontal Gemini workstream within Google Cloud, I led the concept and implementation of 3 first-ever AI (Gemini) integrations into the Trusted Infrastructure portfolio. These launched as private preview, introduced at Google Next, and acted as a foundation for future Platform Security AI efforts.
Personal project
What’s for Dinner?
2026 • Lead UX Designer
AI-ASSISTED WORKFLOW
E2E DESIGN
I explored how AI could reshape and accelerate the UX design process by designing an end-to-end consumer-facing mobile cooking assistant focused on a highly common and frequent problem: difficulty deciding what to make from ingredients they already have. I delivered an interactive HTML prototype using AI assistance.
Earlier Work
IBM | Watson Discovery
Pattern Induction
2020 - 2021 • UX Designer
E2E DESIGN
AI
I designed and delivered a beta pattern induction tool that enables non-technical users to train AI systems to extract rule-based patterns from data. The cohesive, end-to-end experience helped companies reduce up to 75% of the time spent reviewing data sources and helped democratize access to AI capabilities.
PNC Bank | Small Business
Cash Flow Insight
2017 - 2019 • sole UX Designer
E2E DESIGN
Despite high conceptual value and user need for small business owners, the Cash Flow Insight application suffered from poor usability and low engagement.
Following a broader portal overhaul, I led the end-to-end redesign of this legacy product into a responsive, user-centric experience with a modern design system. While users struggled to navigate the legacy app, 100% of research participants successfully completed key tasks within the redesign.