Jorge Alçada

About

Experience

• Advisory Council MemberCurrent

  Harvard Business Review

  Aug 2024 – Present

• Head of Engineering and Applied Science

  Amazon · Barcelona

  Dec 2022 – Oct 2026

  Led worldwide Customer Reviews, one of Amazon Store’s most data-intensive and highest-trust surfaces. The scope grew from engineering into a large multi-disciplinary organization across Engineering, Applied Science, MLOps and Business Analytics. • Championed Amazon’s first company-wide Generative AI customer experience, shipped in a matter of months and generating billions in customer value. Its AI summary component became a shared service, later adopted by Amazon’s AI shopping assistant. • Cut ML experimentation cycles from months to weeks by redesigning to a batch-processing architecture. The redesign saved millions in annual infrastructure costs and years of engineering effort in operational overhead. • Redesigned the organization around centralized standards and federated delivery, which accelerated AI delivery and more than halved customer-facing incidents. • Met hard regulatory deadlines for EU Accessibility and GDPR, including data-lifecycle controls and responses to regulatory inquiries. • Built the leadership bench through succession planning and career frameworks. • Led the shift to AI-native development practices.

Education

• MIT Professional Education — Executive Management Program, Digital Transformation · Oct 2021 – Jul 2022
• Chalmers University of Technology — Master Thesis, Computer Engineering · 2006 – 2006

Skills