Raghuram Srinivas
About Raghuram Srinivas
Raghuram Srinivas serves as the Senior Vice President and Head of Products and Innovations at MetricStream, while also working as an Adjunct Professor at Southern Methodist University. With over 22 years of experience in software and technology solutions, he has held leadership roles at notable companies such as IBM, KPMG, and JPMorgan Chase.
Work at MetricStream
Raghuram Srinivas serves as the Senior Vice President and Head of Products & Innovations at MetricStream since 2021. In this role, he is responsible for overseeing the development of processes and structures for research, product development, recruiting, and onboarding. He integrates intelligent automation into Governance, Risk, and Compliance products, utilizing advanced tools and technologies. His leadership focuses on enhancing data culture and analytics integration into key product and market processes.
Education and Expertise
Raghuram Srinivas holds a Doctor of Philosophy (PhD) and a Master of Science (MS) in Data Sciences from Southern Methodist University. He also earned a Bachelor's degree in Computer Science from PES University. His academic background supports his expertise in software and technology solutions, particularly in data science and intelligent automation.
Background
Raghuram Srinivas has over 22 years of progressive leadership experience in the technology sector. He has held significant roles at major firms, including IBM, KPMG, and JPMorgan Chase & Co. His career includes positions such as Senior Managing Consultant at IBM and Data Science Leader at both KPMG and JPMorgan Chase. He has also contributed to academia as an adjunct professor at Southern Methodist University since 2021, teaching graduate-level courses in the Data Sciences program.
Achievements
Raghuram Srinivas has contributed to various initiatives throughout his career, including building intelligent Credit Risk Monitoring systems at KPMG's Cognitive Computing Lab. He has filed several patents and authored academic journals. His work at JPMorgan Chase focused on North America Anti Money Laundering and Audit lines of business, where he led the corporate technology machine learning practice. His experience at IBM included building high-performing machine learning teams within the Watson Group.