Angie Moe
About Angie Moe
Angie Moe serves as the Head of Data and Customer Enablement, bringing extensive experience in product and program management, as well as analytics. She has held various roles in notable companies, including Netsertive, Mixpo, and Adobe, and possesses expertise in creating scalable data solutions.
Work at SoundCommerce
Angie Moe serves as the Head of Data and Customer Enablement at SoundCommerce. In this role, she is responsible for overseeing data initiatives and ensuring that customer needs are met through effective data solutions. Her position emphasizes the importance of data in driving customer success and enhancing overall business intelligence.
Previous Experience in Data and Analytics
Prior to her current role, Angie Moe held various positions that contributed to her expertise in data and analytics. She worked at Mixpo as Director of Data Sciences and Analytics from 2013 to 2017, and as Director of Product Management, Analytics and Data Science in 2017. Additionally, she served as a Senior Media Analyst and Analytics Manager at Mixpo, further solidifying her background in data management.
Education and Expertise
Angie Moe studied Management at the University of Washington, where she completed her education from 2002 to 2003 and again from 2009 to 2011 at the Michael G. Foster School of Business. She also holds a Bachelor of Science in Psychology from James Madison University, which she obtained from 1992 to 1996. Her educational background supports her strong expertise in creating scalable data solutions tailored to customer use cases.
Background in Program Management
Angie Moe has a diverse background in program management, having worked at notable companies such as Amazon and Onvia. At Amazon, she served as a Program Manager from 2010 to 2011. Her experience at Onvia included roles as Corporate Performance Manager and Sales Marketing Analyst, where she focused on performance metrics and marketing strategies.
Technical Skills and Technologies
Angie Moe possesses extensive experience with various data management technologies, including Google BigQuery, Tableau, and Amazon Redshift. Her technical skills enable her to develop data products that enhance business intelligence and analytics capabilities, demonstrating her commitment to leveraging technology for data-driven decision-making.