Uma E.
About Uma E.
Uma E. serves as the Director of Software Engineering for the Data Platform at Thomson Reuters, a position she has held since 2022. With a background that includes roles at IBM and Cancer Care Ontario, she has over a decade of experience in software development and product management.
Work at Thomson Reuters
Uma E. currently serves as the Director of Software Engineering - Data Platform at Thomson Reuters, a position held since 2022. In this role, Uma oversees the development and management of data platforms, ensuring the delivery of high-quality software solutions. Prior to this position, Uma worked as a Software Development Manager at Thomson Reuters from 2019 to 2022, where responsibilities included leading software development teams and managing project lifecycles.
Previous Experience in Software Development
Before joining Thomson Reuters, Uma E. held several key positions in the software development field. From 2016 to 2019, Uma worked at OLAP Vision, which was acquired by Thomson Reuters, as a Senior Technical Solutions Architect. Earlier, Uma served as a Product Manager at Nightingale Informatix from 2015 to 2016 and as a Senior Business Systems Analyst at Cancer Care Ontario from 2012 to 2015. These roles contributed to Uma's extensive experience in managing software projects and solutions.
Career at IBM
Uma E. has a notable history with IBM, where they held multiple positions. From 2008 to 2009, Uma worked as a Business Intelligence Developer, followed by a role as a Lead Business Intelligence Developer from 2009 to 2010. Uma then transitioned to the role of Product Manager at IBM from 2010 to 2012. These experiences provided Uma with a strong foundation in business intelligence and product management.
Education and Expertise
Uma E. studied at Monash University, where they achieved a Bachelor of Business Systems. This educational background has equipped Uma with the necessary skills and knowledge to excel in various roles within software engineering and product management, particularly in data-driven environments.