Sr. Product Manager, Windows & Devices Marketing
Redmond, Washington, Us
Promoted to lead a medium-sized Big Data engineering team building consumer profiles on Azure Data Lake derived from trillions of daily Windows & Xbox device events, processing over a petabyte of data daily to target & deliver ~16 billion emails & ~24 billion in-product impressions annually.My primary challenge was to maintain our rich, mature gamer dataset (with which we delivered Xbox Year in Review, winning a 2016 Games-related Webby award) while building a Windows 10 targeting data set from the ground up. Freeing existing resources to work on Windows 10 was step 1: keeping the lights on for our Xbox data set required every developer we had, leaving little time left to deliver new capabilities. After working with the team to understand what was holding us back, I determined that it was our pipeline automation suite. I drove adoption of new orchestration tools, cutting monthly developer hours focused on maintenance by more than half (from 80% to 30%). When complete, I was able to move half my team to building a Windows 10 data product, while continuing to grow the Xbox dataset for the first time in years (and with half the staff).Building the Windows 10 targeting data set was a matter of constant adaptation, as I partnered with Microsoft's Privacy & Legal team to respond and adapt to the Dutch Data Protection Agency's 2017 finding that Windows 10 violated Dutch and EU privacy laws.My largest accomplishment was reducing latency on our triggered email campaigns from 7 days to ~30 minutes. Part of this was technical, moving upstream to less processed, lower-latency data sources; as well as building a new signal engine which automated triggers on our email platform. Part was people & process, convincing our operations team to take greater risks, and working with our relationship marketing teams to build their low-latency campaigns based on the data available rather than their experience northstar.