Great strategy serves the market it was built for. Anything less is just a nicely formatted opinion.
This portfolio is organized to show something more than pretty screens. It shows a full-lifecycle approach to product and experience leadership — the ability to define and prove where the real opportunity lives, design and deliver solutions that hold up under pressure, and sense and respond as markets, cultures, and customers keep changing their minds. That interdisciplinary range spans industries and experience modalities, from data visualization and analytics to machine learning, AI, retail, and digital.
The through-line is simple. I don't lead with what's easy to build. I lead with what people actually need — then I make sure the strategy behind that insight survives all the way to the thing someone finally uses.
This is where I figure out whether an opportunity is real before anyone spends a fortune chasing it. The work here defines the future state, proves the value, and gives leadership a clear-eyed case to move on.
Industry: Multiple ·
Data Visualization, Dashboards, Analytics, ML & AI
A client asked us to democratize their data through a self-service cloud analytics, ML, and AI platform. I led the effort to define that ideal future state — and to prove the pivotal role of the data translator in making it actually work for the people who'd depend on it.
Industry: Healthcare ·
Data Visualization, Dashboards, Analytics, ML & AI
Physicians can't read every study ever published, though many keep trying. This work explored how they stay current with medical literature and surfaced smarter ways to help them discover treatment options they might otherwise miss.
Insight is only worth something if it ships. This is where strategy turns into working products — and, sometimes, a patent.
Industry: Multiple ·
Data Visualization, Dashboards, Analytics, ML & AI
I led the creation of a user-centric semantic design-thinking framework for analytic and AI needs — a patent-pending process that cut time-to-requirements from three months to sixty minutes. It transformed how IBM teams build model-driven experiences.
Industry: Healthcare ·
Data Visualization, Dashboards, Analytics, ML & AI
Nobody trusts an answer they can't understand, least of all in healthcare. This work built a shared mental model that made analytic, ML, and AI recommendations legible — and trustworthy — across an entire portfolio of products.
Markets move, cultures differ, and customers rarely behave the way a slide deck predicts. This is where I keep the work honest by staying close to the people it serves.
Industry: Financial Services ·
Retail & Digital
First Data hired me in 2004 to build and scale design research for Western Union's fast international expansion. I introduced the organization to Geert Hofstede's cultural dimensions — because money means very different things in very different places, and a global product had better know that.
Industry: Multiple
Digital
This concept uses agentic AI and a robust knowledge graph to turn workforce data into decisions people can act on. Grounded in UX principles and research on the employee experience, it connects scattered HR tools into one intelligent ecosystem that supports leaders and employees alike.
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