From 2016 to 2020, I was part of Google Cloud, where I built and led a team of designers, engineers, and researchers. We developed an inclusive design language for data visualization, adopted not only in Google Cloud products but also across other Google offerings. We also shared our expertise within the data visualization community through classes, publications, and talks.
Servicing one of the biggest organizations in Google
This was my very first time managing a team, not to mention, it was in a big company like Google. Also, data visualization is inherently an intricate domain, and developing visualizations for a specialized area like Cloud turned this endeavor into a highly challenging one.
I built a multidisciplinary team from the ground up and established operations for our program, catering to the data visualization needs of our entire Cloud team – one of the largest groups within Google.
The scale of our team and the teams we supported was imbalanced. I played a pivotal role in creating novel ways to extend our support to our collaborators through stream lining strategic roadmapping, feature request and bug documentation. Additionally, I led the design efforts of our first data visualization library with complex data visualizations along with the development of internal tools for self-service purposes. Moreover, I helped implement a program for office hours, workshops, lectures and talks.
The impact of our work extended from Cloud to improving other Google products with data visualizations, and it also reached data visualization designers worldwide through Material Design.
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