NiCE Appoints Rajesh Shriyan as Chief Information Officer
The technology company selects industry veteran Rajesh Shriyan to lead its enterprise-wide AI and IT modernization strategy.
Updated on Oct. 26, 2026 in People
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NiCE has named Rajesh Shriyan as its new Chief Information Officer to drive internal business process modernization. He will report directly to Chief Operating Officer Arun Chandra.
Why it matters
The appointment aims to accelerate the company’s enterprise-wide artificial intelligence transformation. Shriyan will oversee critical areas including data, infrastructure, and IT services.
Rajesh Shriyan brings over 25 years of experience in enterprise technology leadership. He previously spent 15 years at NetApp and over a decade as an IT architect at Cisco Systems.
The players
Rajesh Shriyan
He is the newly appointed Chief Information Officer of NiCE with more than 25 years of leadership experience in the enterprise technology sector.
Arun Chandra
He serves as the Chief Operating Officer at NiCE and acts as the direct supervisor for the company's new Chief Information Officer.
The details
Shriyan is tasked with managing enterprise applications and IT services while spearheading the firm’s transition into advanced AI capabilities. He holds a Bachelor of Engineering degree from K. J. Somaiya College of Engineering in Mumbai.
Timeline
October 26, 2026: NiCE formally announced the appointment of Rajesh Shriyan.
Market Landscape
This appointment follows the established industry pattern of hiring long-tenured IT veterans to lead enterprise-wide AI transformation efforts. It positions NiCE to compete more aggressively in the crowded sector of AI-driven business process optimization.
Raleigh-based staff and clients can expect potential changes to internal IT infrastructure and digital service delivery as Shriyan implements new AI protocols. These shifts may impact how the company manages data and support services in the coming months.
The takeaway
The move underscores the growing demand for executives who can bridge the gap between traditional enterprise architecture and emerging AI tools. Companies prioritize leaders with deep tenure in infrastructure to ensure that AI transformation projects remain scalable and secure.
Further reading
For more on local leadership changes, visit People.
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