Deepa Srinivasan
About Deepa Srinivasan
Deepa Srinivasan is a Senior Program Manager specializing in Product Analytics at Thomson Reuters, where she has worked since 2022. She has extensive experience in data analytics and product management, having held key roles at major companies such as MoneyGram, PayPal, and FedEx.
Current Role at Thomson Reuters
Deepa Srinivasan currently holds the position of Senior Program Manager in Product Analytics at Thomson Reuters. She has been with the company since 2022 and is based in Carrollton, Texas, United States. In her role, she focuses on product analytics, leveraging her extensive experience in data and analytics to drive product development and performance.
Previous Experience at Major Companies
Deepa has held significant roles at various major companies throughout her career. She worked as a Lead IT Architect (Automation) at MoneyGram International from 2014 to 2017, and as a Client Lead at PayPal from 2013 to 2014. Additionally, she served as an Onsite Client Lead at FedEx in 2013. Her experience includes key contributions in data, analytics, and architecture across these organizations.
Career Progression and Roles
Deepa's career began in 2008 as an Analyst Programmer at Syntel in Chennai, India. She progressed through various roles, including Project Lead in Quality and Automation Services at Syntel, and later as an Enterprise Program Manager at MediaKind in 2020. Her tenure at Beyondsoft included roles as Sr Project Manager and IT Program Manager, showcasing her advancement in project and program management.
Educational Background
Deepa studied at Anna University, where she earned an Engineer's Degree in Computer Science and Engineering from 2004 to 2008. This educational foundation has supported her career in technology and analytics, enabling her to specialize in product management and data analytics.
Diverse Experience Across Industries
Deepa has a diverse background that spans multiple domains, tool-sets, industries, and geographies. Her expertise includes product management, data analytics, and experimentation, allowing her to adapt to various roles and challenges in the technology sector.