Grossman School of Business

Rochelle March

Lecturer (Part-Time)

Rochelle March

BIO

Rochelle March is a sustainability expert, eco-quant, and presenter on Environmental, Social, and Governance (ESG) and data science topics. She is co-founder and principal of PPWA (People Places Words Actions), a sustainable innovation studio, and has over a decade of experience calculating impact, designing sustainability strategies, and applying machine learning to ESG products for clients worldwide, from the largest tech companies to financial start-ups. Career highlights include creating one of the first datasets regarding corporate impact on the United Nations Sustainable Development Goals (SDGs) and receiving her first patent on an ESG ranking methodology. She is an S&P Global alum and former Dun & Bradstreet Global Head of ESG Product. 

Rochelle currently serves as an adjunct lecturer in the University of Vermont's Sustainable Innovation MBA program, where she teaches Applied AI for Sustainable Business, bringing over a decade of industry experience in ESG data and machine learning directly into the classroom.

Bio

Rochelle March is a sustainability expert, eco-quant, and presenter on Environmental, Social, and Governance (ESG) and data science topics. She is co-founder and principal of PPWA (People Places Words Actions), a sustainable innovation studio, and has over a decade of experience calculating impact, designing sustainability strategies, and applying machine learning to ESG products for clients worldwide, from the largest tech companies to financial start-ups. Career highlights include creating one of the first datasets regarding corporate impact on the United Nations Sustainable Development Goals (SDGs) and receiving her first patent on an ESG ranking methodology. She is an S&P Global alum and former Dun & Bradstreet Global Head of ESG Product. 

Rochelle currently serves as an adjunct lecturer in the University of Vermont's Sustainable Innovation MBA program, where she teaches Applied AI for Sustainable Business, bringing over a decade of industry experience in ESG data and machine learning directly into the classroom.