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Great Learning

AI for Leaders at UT Austin McCombs School of Business

Dipu Mukherjee is responsible for overseeing product management throughout all stages of development. From ideation and prototyping to marketing, pricing, and competitive analysis, Dipu's keen insight propels projects to completion. His primary focus lies in assessing how different artificial intelligence and machine learning techniques can be employed to enhance the delivery process for clients. Notably, his impressive product portfolio includes implementing predictive coupon functionality that has yielded a significant return on investment for clients. Mukherjee's expertise lies in data science, where he employs an advanced decision framework to make calculated choices that minimize waste, optimize performance, and ensure the ultimate success of the final product among its intended demographic. Despite the numerous moving parts that can complicate his daily agenda, Mukherjee adeptly maintains a balanced schedule and approaches each new challenge with a fresh perspective.

His specialization in AI-driven solutions enables him to analyze how artificial intelligence can revolutionize various aspects of business operations, including product development, business information systems, trade promotion, mobile solutions, program management, and mergers and acquisitions. Dipu Mukherjee Dallas has occupied several leadership positions across diverse organizations throughout his illustrious career. At Symphony EYC, he served as the Vice President of Product Management within the CPG Solutions division. In this influential role, He employed market vectors to solidify the company's world-class product portfolio vision. The significance of this position was evident as he undertook the formidable task of upgrading the technology infrastructure for retail grocery stores with sales exceeding $10 billion.

Vanderbilt University

Chief Innovation Officer

Dipu Mukherjee

Pep / VMLY&R Commerce

Leading the product management discipline from visioning, prototyping, marketing, pricing to competitive analysis. Incorporating AI/ML techniques through a data science driven decision framework to transform the organization's insights delivery process for clients. Delivering a predictive coupon planning capability to run offers that optimize the trade spend and generate significant return-on-investment and year over year growth for clients.

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