Summary
Daniel Wolbert is a Data & AI leader with 13 years of experience building and scaling end-to-end data science solutions across finance, logistics and technology. Currently leading Data & AI at iFood after spearheading initiatives at Inter and Accenture, he blends operations research, optimization and machine learning to turn complex business problems into production-grade, measurable outcomes. His background—MSc in Industrial Engineering from Lehigh and an engineering degree from UFMG—gives him a strong quantitative foundation and a knack for designing robust, optimization-driven systems. Daniel routinely manages cross-functional teams and stakeholders to embed data-driven decision making into organizational workflows, while prioritizing scalable architectures and operational rigor. Colleagues describe him as a pragmatic innovator who balances technical depth with strategic leadership, often translating academic techniques into practical business value. Based in Minas Gerais, Brazil, he brings a global consulting mindset combined with hands-on delivery experience in large enterprises.
13 years of coding experience
10 years of employment as a software developer
Técnico em Informática, Tecnologia da Informação, Técnico em Informática, Tecnologia da Informação at Centro Federal de Educação Tecnológica de Minas Gerais
Master of Science (MSc), Industrial Engineering, Master of Science (MSc), Industrial Engineering at Lehigh University
Bachelor's degree, Engenharia de Controle e Automação, Bachelor's degree, Engenharia de Controle e Automação at Universidade Federal de Minas Gerais
English