I am a seasoned product design leader with over 20 years of experience guiding end-to-end design strategies across enterprise, startup, and government sectors. I design with both the user and the business in mind, lead cross-functional teams, and modernize complex systems to deliver measurable outcomes.
I mentor teams, champion design thinking, and build processes that balance creativity, clarity, and efficiency. My work has helped win over $50M in federal contracts, reduce costs by millions annually, and generate substantial revenue through user-centered innovation.
Experience Level
Work Experience
Education
Qualifications
Industry Experience
Goal
Create a searchable map that finds places in the US that could most benefit from educational campaigns, naloxone distribution sites, and substance use disorder treatment centers.
Approach
Interviewed health agency users on how they research their population.
Broke down a robust filtering system into an intuitive, step by step approach to make it easier for users.
Create a modeling dataset that represents the US population with respect to legally protected groups.
Extend bias checks to further include representation across income groups and the Rural-Urban Continuum Codes.
Outcome
Leaders used HealthPrism to facilitate effective use of grant funding.
HealthPrism provided data-driven insights to reveal intricate connections in maternity care deserts
HealthPrism segmented the Mid-Atlantic states’ population into 15 unique personas to enable micro-tailored outreach.
When I was given the task of tackling the pricing engine for Fannie Mae’s market room, it was quite the undertaking. This was in 2019 and at that time, analysts were still using excel to price out loans from the bid sheets that came in each week. A little background on bid sheets. Each lender would send out what is called a “bid sheet” with a list of loans from that week that financial institutes could bid on to purchase. The highest bidder would get the loan. The problem with Fannie Mae was that the analysts did not have the capability to price individual loans. They could only offer an across-the-board price for all loans in the bid sheet. Which means they were over paying for the bad loans, and would be outbid for the good loans.
I shadowed each analyst for a day to see how they were accomplishing this impossible task. By understanding their needs and what they were trying to accomplish, I designed a new product that would intake the bid sheet, use the formulas they developed over the years to price out each loan, and allowed them to individually price each loan in a sort of “shopping cart” type flow. From there, they could send over a itemized list of each loan and the price they were willing to pay for each.
By allowing the analysts to price out each individual loan instead of an overall price for the entire bid sheet, they were able add $47.8M in revenue in just the first two months of implementation.
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