Jihae Hwang Joins Sparkling Logic as VP of Data Science

Jihae Hwang, VP of Data Science at Sparkling Logic

Sunnyvale, CA, June 30, 2022 – Sparkling Logic today announced the appointment of Jihae Hwang as their new VP of Data Science. Hwang previously held key data and analytics leadership positions at Enova, Align, and Goldman Sachs.

“AI and ModelOps will become more and more important in decision management and why our Low-code/No-code, Lifecycle Management, and Decision Analytics tools not only support the decision logic that business analysts manage but also the models data scientists develop,” said Carlos Serrano-Morales, Co-Founder and CTO. “We’re thrilled to have Jihae join the team to focus on AI capabilities for both data scientists and business analysts. We already have a handful of projects that we plan on bringing to market next year.”

“Having worked with Sparkling Logic as a strategic partner at my time at Enova, I know first-hand the value SMARTS™ brings to organizations in automating data-driven decisions and actions,” said Hwang. “I’m excited to join a company that is as passionate about data as I am and look forward to developing tools to make it even easier for organizations to operationalize data science.”

Jihae has an extensive data science background, having served as the Director of Analytics at Align and the Head of Analytics at Enova Decisions. He holds a MS in Finance from Kellstadt School of Business and a BA in Math and Economics from Northwestern University.

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About Sparkling Logic

Sparkling Logic Inc. is a Silicon Valley company dedicated to helping businesses automate and improve the quality of their operational decisions with a powerful digital decisioning platform, accessible to business users and “citizen developers”. Our customers include global leaders in financial services, insurance, healthcare, retail, utility, and IoT.

Sparkling Logic SMARTS™ (SMARTS for short) is a cloud-based, low-code, AI-powered business decision management platform that unifies authoring, testing, deployment, and maintenance of operational decisions. SMARTS combines the highly scalable Rete-NT inference engine, with predictive analytics and machine learning models, and low-code functionality to create intelligent decisioning systems.

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