Head of ESG Product at Dun & Bradstreet
Rochelle leads product strategy, development and delivery as Head of ESG Product at Dun & Bradstreet. She specializes in impact analysis related to carbon, water and the Sustainable Development Goals and in applying machine learning to ESG products. She also teaches data and analytics in Bard College’s MBA program, sits on the advisory board for USL Technology, Inc., a minority and women-owned sustainable building and engineering company, and is a mentor for fellows in the Environmental Defense Fund’s Climate Corps program and for STEM talent participating in the New York Academy of Science’s Junior Academy. Previously, Rochelle directed ESG innovation and analytics at S&P Global and worked as a sustainability consultant for SustainAbility (now part of ERM Group), Dunkin’ Donuts and the NRDC. Rochelle has had work cited by The Economist, The Guardian, IR Magazine and GreenBiz, and is a regular speaker on sustainability and data science topics. Before entering the sustainability field, Rochelle worked on cancer research at Weill Cornell Medical College and founded a graphic design company.
Watch live: March 2 | 5.00PM ET
Building a global data supply chain to support an ML-built sustainability dataset on companies and their value chains
Global changes have highlighted the interconnections and dependencies on ecosystems, natural resources, business relationships and economies. Traditional financial data fails to fully capture this systemic and quickly changing landscape that is our modern world. ESG (environmental, social, governance) data can serve as valued information for informing which companies are adapting to current challenges and which are lagging behind. For Dun & Bradstreet, this means extending its efforts around business transparency to generate ESG intel on millions of public and private companies and their supply chains that can bring better awareness on business partnerships and investments. This presentation will showcase analysis that explores the relationship between ESG metrics and company resiliency during volatile events, and will provide a deep dive into how the Dun & Bradstreet teams rapidly built a global data supply chain and ML-enabled tools to support constant updating, maintenance and ingestion of structured and unstructured ESG-related sources to support the world’s largest repository of ESG company data.