Varun Kalsi

Varun Kalsi

Vice President (Global) @ Thomson Reuters

About Varun Kalsi

Varun Kalsi is the Vice President (Global) at Thomson Reuters, with extensive experience in analytics, data science, and technology leadership. He has held senior positions at various companies, including RBC, Hitachi, and Hewlett Packard Enterprise, and possesses a strong background in hybrid cloud technologies and big data solutions.

Current Role at Thomson Reuters

Varun Kalsi serves as Vice President (Global) at Thomson Reuters, a position he has held since 2022. He is based in Toronto, Ontario, Canada. In this role, he focuses on leveraging his extensive experience in technology and analytics to drive innovation and enhance enterprise value.

Previous Experience at RBC

Prior to his current role, Varun Kalsi worked at RBC as the Head of Platform, Analytics, Operations, and Data Science from 2020 to 2022. During his two years in this position, he was responsible for overseeing various analytics initiatives and operational strategies in Toronto, Ontario, Canada.

Education and Expertise

Varun Kalsi holds a Master’s Degree in Analytics and Data Science from Queen's University. He also completed an Executive Program in Leadership at Harvard Business School. His expertise includes leveraging AI and emerging technologies to transform tech-driven enterprises and enhance operational efficiency.

Background in Technology Leadership

Varun Kalsi has a strong background in technology leadership, having held several senior positions in various organizations. He served as Sr Director at Hitachi from 2016 to 2018 and Managing Director at Hewlett Packard Enterprise from 2005 to 2016. His experience spans across multiple domains, including hybrid cloud technologies and business intelligence.

Skills in Data Technologies

Varun Kalsi possesses skills in a wide range of data technologies and tools. He is experienced in business intelligence and data warehousing tools such as SSIS, SSAS, Oracle, and PowerBI. Additionally, he is skilled in big data technologies and programming languages, including Hadoop, Python, and Spark.

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