Brian Glickman
About Brian Glickman
Brian Glickman serves as the Vice President of Enterprise Sales at Acceldata, where he focuses on data observability solutions. With extensive experience in sales across various technology companies, he emphasizes the importance of data management in modern architectures.
Current Role at Acceldata
Brian Glickman serves as the Vice President of Enterprise Sales at Acceldata, a position he has held since 2022. In this role, he focuses on delivering comprehensive data observability solutions that provide a cross-sectional view of data operations across on-premise, hybrid, and cloud environments. His expertise in data management is integral to helping organizations optimize their data strategies.
Previous Experience in Sales Leadership
Before joining Acceldata, Brian Glickman held several significant sales leadership positions. He was the Vice President of Sales for North America West, APAC, and LATAM at OverOps from 2018 to 2020. Prior to that, he served as the Director of Sales for North America West & Central at Pentaho, a Hitachi Group Company, from 2014 to 2018. His experience also includes roles at Mendix, Cisco Systems, and Oracle, where he developed expertise in cloud automation and data center solutions.
Educational Background
Brian Glickman studied at the UNLV Lee Business School, where he focused on Business, Marketing, and Management. His academic background has equipped him with the skills necessary to navigate complex sales environments and understand market dynamics.
Professional Networking and Connections
Brian Glickman emphasizes the importance of professional networking, as evidenced by his over 20,000 first-level direct connections on LinkedIn. He actively seeks to connect with executives facing challenges in becoming data-driven, aiming to foster mutually beneficial relationships that can accelerate success through effective data management.
Advocacy for Data Observability
Brian Glickman advocates for the critical role of data observability in modern data architectures. He draws parallels between the necessity of data observability and the management tools traditionally used for mainframes and networks. His approach includes applying strategies from physical supply chains to digital supply chains, reflecting a progressive view on data management.