Summary
Rafael Sierra is a director-level operations leader who combines 16+ years of cross-sector program leadership with hands-on data science fluency to help complex organizations make smarter decisions at scale. At PADF he advised executive leadership on a $110M+ regional portfolio, built AI-powered proposal and reporting tools that lifted team productivity by 80%, and developed Python/R/Tableau forecasting dashboards that improved financial accuracy by 80%. He excels at Chief-of-Staff-style decision support, governance design for high-risk programs, and aligning Finance, HR, Legal, IT and program teams to execute strategy. A former municipal planning director and co-founder of a consulting firm, he blends public-sector pragmatism with entrepreneurial adaptability. He teaches at George Washington University, signaling a commitment to translating practice into learning. Notably, he has operationalized GenAI for salary scenario planning—turning experimental AI into a routine executive planning tool.
10 years of coding experience
12 years of employment as a software developer
Master in Business and Administration, Business Administration and Management, General, Master in Business and Administration, Business Administration and Management, General at IESA
Electronic Engineering, ENGINEERING, Electronic Engineering, ENGINEERING at Universidad Simón Bolívar
Johns Hopkins University
M.P.S in Political Communication and Strategic Governance, Political Science and Government, M.P.S in Political Communication and Strategic Governance, Political Science and Government at The George Washington University
English, Spanish, French