Diane Tang is a Google Fellow focused on empowering decision-makers across Google with robust data, tools, and insights around our users and product ecosystem as well as underlying large-scale data analysis, infrastructure, instrumentation, and experimentation. She is also co-lead of the Data Science ladder and community at Google. She previously led the Search Ads Quality team at Google, growing revenue to over $20b annually, with key focus areas including auction dynamics, experiments, metrics, and analytics. She has also previously led data engineering, infrastructure and analytics for biological and medical applications for Google Life Sciences (now Verily) and Google Research.
Luminary Interview with Diane Tang
As you grow as a technical leader, identifying career paths and opportunities can be difficult and you can easily get stuck without knowing what it takes to get you to the next level. So as a Senior IC, how do you get here? What is the job like? How do you map your career map?
