Manzar Masud
About Manzar Masud
Manzar Masud serves as the Technical Director of Marketing Data Operation at RingCentral, a position he has held since 2017. He has extensive experience in software engineering and business intelligence, having previously worked at companies such as Intercare Holdings and EMC.
Work at RingCentral
Manzar Masud has served as the Technical Director of Marketing Data Operation at RingCentral since 2017. In this role, he is responsible for overseeing data operations related to marketing initiatives. His work involves ensuring the effective use of data to support marketing strategies and enhance decision-making processes. RingCentral, based in Belmont, California, specializes in cloud-based communication and collaboration solutions.
Previous Experience
Before joining RingCentral, Manzar Masud worked at Intercare Holdings, Inc. as an Architect/Senior BI Developer through Senturus from 2015 to 2017. His role involved consulting remotely, where he contributed to business intelligence projects. Prior to that, he was employed at EMC as a Principal Software Engineer from 2009 to 2012 in Pleasanton, California. He also served as a Project Manager/Architect at Peet's Coffee in 2012 for a period of 10 months.
Education and Expertise
Manzar Masud studied at Danford in London, England. He also attended Kingsway College in London, where he focused on subjects including Math, Applied Math, Physics, and Applied Physics, earning an Associate’s Degree. His educational background supports his expertise in technical and analytical roles, particularly in data operations and business intelligence.
Technical Contributions
Throughout his career, Manzar Masud has developed significant technical solutions. He created a solution that integrates Single Sign-On (SSO) and Row-level security for dashboard access, enhancing security and user experience. Additionally, he optimized a dashboard and backend database to ensure results are delivered in 10 seconds or less. He also architected a database design and developed an ETL process to transfer data from production databases to a data warehouse.