Miguel Diaz is a data and AI executive with nine years of experience building high-performance teams and delivering large-scale Data & ML platforms across LATAM and global organizations. As CEO of Talento Para Ti and former Data & ML Platform Director at AB InBev, he led rapid migrations of hundreds of production workloads, saved over $1.3M through platform optimizations, and operationalized 90+ ML use cases across seven countries. He combines hands-on engineering, platform operations, and governance with proven leadership in go-to-market integrations (SAP, BEES) and bank-grade data governance from his time at RappiBank. Trained at MIT Sloan and Stanford GSB in executive leadership and negotiation, he pairs rigorous technical depth (Databricks, Snowflake, Azure, AWS) with an operator’s focus on scalable, cost-effective solutions. Notably, he has a track record of turning complex cross-functional requirements into measurable business outcomes, including initiatives that delivered $100M+ in value.
9 years of coding experience
12 years of employment as a software developer
Lean Six-Sigma Black Belt Certification Engineering, Lean Six-Sigma Black Belt Certification Engineering at Arizona State University
Negotiation for executives Communication General, Negotiation for executives Communication General at MIT Sloan Executive Education
Data Science Certification Statistics, Data Science Certification Statistics at Pontificia Universidad Javeriana
Universidad de los Andes
Leading Through Personal Excellence, Leading Through Personal Excellence at Stanford University Graduate School of Business
Contributions:4 PRs, 10 pushes, 2 branches in 3 years 2 months
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Miguel Diaz - Chief Executive Officer at Talento Para Ti