Jigna Jain
About Jigna Jain
Jigna Jain is a Project Manager at Iris Software Inc. in Noida, Uttar Pradesh, India, where she has led the development of blockchain-based decentralized applications and managed organization-level programs to enhance financial domain awareness.
Work at IRIS Software
Jigna Jain has been employed at Iris Software Inc. as a Project Manager since 2018. In this role, she has led the development of blockchain-based decentralized applications (DAPPS), including projects such as Intercompany Liquidity Reconciliation, E-Wallet, and Data Lineage. Her responsibilities include creating comprehensive process design documents and managing organization-level programs to enhance financial domain awareness across over 80 financial services modules within the company.
Education and Expertise
Jigna Jain holds a Master of Science in Engineering Management from the University of Sunderland, where she studied from 2005 to 2006. She also earned a Bachelor of Engineering in Instrumentation and Control from MKSSS Cummins College of Engineering for Women, completing her studies from 2000 to 2004. Her educational background provides a strong foundation for her expertise in project management and technical development.
Background
Jigna Jain completed her early education at Mount Carmel High School in Akola. Her academic journey led her to pursue engineering, culminating in a bachelor's degree and later a master's degree focused on management principles in engineering. This background has equipped her with the skills necessary to navigate complex projects in the technology and financial sectors.
Achievements
Jigna Jain received the iNovus innovation program award for her work in developing a 'Machine Learning backed Data Catalog' product. This recognition highlights her contributions to innovative solutions within the organization. Additionally, she serves as a Business domain trainer across various cross-functional departments at IRIS, covering key areas such as risk management, capital management, compliance, and data science/analytics.