Industries
I have worked nearly exclusively in Enterprise Software since 1997
(26 years), implementing AI, ML, BA, BI, and predictive analytics.
My specialty is strategy and UX UI design for complex data-driven platforms, existing or ground-up creation.
I build the platform strategy with the Stakeholder teams, and work closely with my Engineering Leads and Architects to ensure we stay within the implementation rails. I ensure the code and components are extensible for future growth, while meeting both business and user needs based on solid research and testing.
In nearly all of the products I have worked on, there has been some flavor of AI, frequently and heavily, incorporating predictive analytics.
In working with tera/petabytes of structured and unstructured data, it is key that those data be analyzed and presented in ways that a human can ultimately understand and comprehend.
Working in this industry for years, I have found, in general, that a major business pain point has been turning their data into actionable insights for end users. Having data and metrics with no means of comprehending them is essentially useless.
AI-heavy engagements:
IBM Watson
Sr UX / UI Designer
I assisted on several Watson projects, incorporating; AI, ML, BI, and BA, with a special focus on predictive analytics and risk mitigation.
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Watson Curator
Stealth Startup - Self-driving vehicle
Project Manager, UX / UI Designer
Consultant a stealth startup developing a self-driving vehicle incorporating AI model training (hardware & software). My initial role was UX / UI Designer, but, because of need, I was also their Project Manager.
My introduction to FinTech was working with Google's FP&A team to create a new product that delivers near real-time budget availability.
This product, Google Herald, was slated to roll out to Google within 1 year, and all of Alphabet the next year. Easily 90% of the process was manual and took between 2-4 weeks to compile a 'simple' budget availability request. By the time the Requestor received their number, it was inaccurate, giving no accurate visibility into the actual availability to be able to allocate.
OUTCOME: With the cross-functional Stakeholders Team, our Executive sponsor, the Director of Finance, and a group of expert Engineers, we were able to remove 100% of the manual calculation (spreadsheets) and connect existing systems to deliver, on-demand- an accurate budget availability within 2-3 seconds of the budget owner initiating the request, basically loading their dashboard. This allowed the FP&A team to return to focusing on planning and analytics instead of manually compiling data from disparate systems, allowing the business to function smoothly and efficiently.
My introduction to MarTech was when I was placed on PayPal's Sales & Marketing product. There was no effective way to create and deploy comprehensive true omnichannel campaigns, or collect and analyze engagement metrics effectively.
The product was in early stages of development but was lacking deep user knowledge and cohesion. After doing user research, there were a number of users that were being under-served who also needed a view into various aspects of campaign deployment and performance.
Being that I come from a platform-based background, I assessed the variables and was able to lobby for, and gain approval of, a comprehensive and scalable suite approach, gaining agreements from both Engineering and upper Management. Working seamlessly with the Stakeholder Team, we created CXP Studio, an omnichannel creation, deployment, and performance analytics tool for all PayPal customer engagements.
Outcome: We rolled out in key, identified phases to ensure we were able to build out initial key suite components and functionality, deliver value at each phase, and provide accurate and relevant views into initial user engagement and conversion.
My first introduction to AdTech was when I joined Yieldmo as their Director of Product Design.
When I joined the Team, there was no effective way to be able to view real-time ad engagement on publisher sites, or ad engagement for Advertisers.
Working with VPs of product and Executive management and the whole Stakeholder Team, we crafted an internal and external platform to be able to immediately deliver the necessary metrics to the different users.
OUTCOME: We delivered phase 1 to an extremely enthusiastic Publisher (Seller) White List group. The Publisher dashboard was exactly what they have been needing in the industry. The Yieldmo Platform also demystified and simplified campaign creation with a step-by-step UI, allowing them to optimize their inventory to yield optimal performance and reveal expected future performance, weighed against near real-time consumer engagement. Phase 2 will roll out the Advertiser (Buyer) platform delivering user engagement metrics to allow for quick real-time adjustments in favor of better-performing assets, optimizing existing inventory. The platform also offers AI-driven, curated deal offers to maximize current Consumer engagement and conversion. (case study coming soon)
Working as an Art Director for a Cambridge printing house, I was able to start a long-standing relationship with a large BioTech company, Genzyme (now a Sanofi company) and work with the Marketing Team on diverse deliverables including; trade show assets, web deliverables, illustrations, and brochures to name a few.
Of note, one important project we worked on was a patient diagnostic printed manual device that demystified and simplified patient's cholesterol outputs, for both males and females, displaying where they fall in different zones of risk, and allowing physicians to easily explain remediation plans if levels were elevated. This simple printed device was later patented by Genzyme.
