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Gerardo Mendoza
Gerente Bi & Ia @BNN México
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WORK HISTORY
Gerente Bi & Ia @BNN México
Ciudad de Mexico, MX
Leading the TI, Business Intelligence & Artificial Intelligence department, with responsibility for designing and implementing AI-powered solutions that transform data into strategic insights for the organization.Key responsibilities:• Building the company\'s BI & AI roadmap, aligning technology initiatives with business objectives.• Driving adoption of AI tools and data governance frameworks across cross-functional teams.• Identifying and deploying emerging technologies to optimize processes and generate competitive advantages.• Leading organizational change through data culture and continuous learning programs.
EDUCATION
Instituto Tecnológico de Celaya
Ingeniería en Sistemas
The University of Texas at Austin
Certificate, Digital Marketing
Universidad del Valle de México
Ingeniería en Ciencia de Datos
San Diego State University
Certificate, Digital Marketing Innovation
SKILLS
ABOUT GERARDO MENDOZA
Gerardo Mendoza is a technology and innovation leader recognized as one of Mexico\'s Top 100 LGBTQ+ Leaders by MIT Sloan Management Review (2024). With 15+ years of leading digital transformation, AI strategy, and data-driven innovation in companies like BNN México, KTBO, and KIO Networks, he has built and scaled high-impact teams across Mexico, Brazil, and Argentina.As BI & AI Manager at BNN México, he currently drives the adoption of artificial intelligence and business intelligence solutions to transform decision-making and organizational culture. Previously, as General BI Lead at KTBO, he designed and implemented the agency\'s first data-driven marketing strategy — delivering measurable results for global clients including Niantic, Netflix, Coca-Cola, Uber, EA Sports, and Mattel.He is the co-founder of México Lector, a community innovation project that scaled a reading culture movement to 20+ cities across Mexico and New York — proof that technology, human-centered design, and community can drive real-world impact at scale.His approach to innovation sits at the intersection of AI, data strategy, and organizational culture: not just implementing tools, but transforming the way teams think, learn, and create value.
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