Executive-level decision architect for technically complex systems undergoing large-scale capital deployment and transformation.
Jesus Guardado brings together deep technical training at MIT and Stanford, strategy leadership at BCG, and experience building an AI venture and strategic advisory practice. He has partnered with senior leadership teams and boards to navigate consequential technical bets, shape growth strategies, and translate complex operational challenges into clear execution roadmaps. His work spans AI, semiconductors, advanced manufacturing, energy systems, and adjacent technology markets.
Developed a 2030 investment and technology roadmap for a Fortune 100 US tech leader, defining technology, ecosystem, and capital allocation priorities to inform C-suite and board decisions.
Shaped a $1B+ growth strategy for an infrastructure investment firm entering a new sector, developing business cases, sequencing market entry, assessing competitors, and defining competitive positioning.
Advised senior government and industry leaders across 10+ companies on semiconductor incentives spanning nine regions, producing a widely cited report that informed U.S. CHIPS Act policy discussions.
Led post-merger integration of sales organizations for PE-owned SaaS companies, aligning commercial strategy, incentives, and cross-functional resources to surpass Year-1 cross-sell targets within 30 days.
Led a five-person team developing a generative AI platform from concept to alpha, overseeing company strategy, product vision, IP strategy, and technical and commercial roadmaps. Secured $500K+ in pre-seed funding.
Established and leads a technical-strategic advisory practice serving corporate leaders, investors, and founders on emerging technologies, investment decisions, and operational transformation.
Led teams on complex strategic initiatives across technology and adjacent sectors, advising senior leaders on growth, technology investments, M&A, due diligence, operations, go-to-market strategy, and transformation.
Conducted advanced materials research, resolving a decade-long scientific problem and producing first-author peer-reviewed research. Developed analytical automation tools and led multidisciplinary experimental work using X-ray synchrotron facilities.
Improved semiconductor fab manufacturing operations, increasing equipment availability and reducing material and labor costs by 50%. Deployed automated process monitoring to improve operational efficiency.
PhD and MS, Materials Science & Engineering
BS, Materials Science & Engineering
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