Karin Olson
About Karin Olson
Karin Olson serves as the Chief of Staff to the CFO in Finance Operations at Adobe, a position she has held since 2018. She has extensive experience in revenue analysis and assurance, having previously worked at Oracle Corp., Openwave, and Adobe in various roles.
Current Role at Adobe
Karin Olson currently serves as the Chief of Staff to the CFO in Finance Operations at Adobe. She has held this position since 2018 and is based in San Jose, CA. In this role, she is responsible for supporting the CFO in various financial operations and strategic initiatives. Her extensive experience in revenue assurance and financial management contributes to her effectiveness in this position.
Previous Experience at Adobe
Before her current role, Karin Olson worked at Adobe in various capacities. She served as Director of Revenue Assurance from 2012 to 2018, where she focused on ensuring accurate revenue reporting and compliance. Prior to that, she was a Senior Manager in Revenue Assurance from 2007 to 2012. Her tenure at Adobe spans over a decade, showcasing her deep understanding of the company's financial operations.
Experience at Oracle Corp.
Karin Olson worked at Oracle Corp. as a Senior Revenue Analyst from 2005 to 2006. During her time in Santa Clara, CA, she contributed to revenue analysis and reporting, gaining valuable experience in financial operations within a large technology company.
Educational Background
Karin Olson holds a Bachelor of Science (B.S.) degree in Business Administration with a focus on Accounting from Saint Mary's College of California. Her educational background provides a strong foundation for her career in finance and revenue management.
Expertise in Revenue Recognition Standards
Karin Olson possesses expertise in ASC 606, a revenue recognition standard that significantly impacts how companies report their financials. This knowledge is essential for ensuring compliance and accuracy in financial reporting, particularly in the context of Software as a Service (SaaS) business models.