Executive Profile
How I lead technology and AI organizations
Technology does not transform organizations. Leaders do.
Executive snapshot
- Who is Emilio Bogantes?
- A technology and AI executive with 15+ years leading engineering organizations, enterprise transformation, and production AI across the United States and Latin America.
- What executive roles fit him?
- CTO, VP of Engineering, Director or Senior Director of Engineering, Head of AI, AI Engineering Director, and Technology and Digital Transformation Director.
- Where is he based?
- In Costa Rica, working with organizations across the United States, Latin America, and global markets.
- Can he work remotely or relocate?
- Yes. He is open to remote, hybrid, or relocation.
- What is his English level?
- English C2 and native Spanish; he facilitates bilingually.
- What size organizations has he led?
- Up to 12 direct reports and organizations of up to 75 people, with distributed US and LATAM teams.
- Has he worked with Fortune 100 and Fortune 500 organizations?
- Yes, across Fortune 100 and Fortune 500 client environments in healthcare, loyalty, and enterprise digital experience.
- Does he have regulated-industry experience?
- Yes. He led a regulated SaaS platform for medical-device manufacturers with eIFU constraints.
- Has he delivered AI systems in production?
- Yes. Applied generative and agentic AI in production, with measurable cases across logistics, legal, and content migration.
- Does he combine business and technical leadership?
- Yes. He operates in the executive room on investment and risk, and in the delivery room on architecture and execution.
How I lead
Accountable in the executive room and the delivery room
In the executive room I focus on investment choices, risk posture, and prioritization. In the delivery room I focus on architecture, operating cadence, talent, and execution.
Most complex transformations accelerate or stall in the gap between those two rooms. I stay accountable on both fronts, which is where the gap usually closes.
What I solve
Brought in when technology decides the outcome
- A platform that must be rebuilt without stopping the business
- An AI mandate that has to reach production and show value
- An engineering organization that needs to scale without losing predictability
- A distributed US and LATAM operation that needs a stronger operating model
How I structure the work
Results come from the system, not isolated decisions
PeopleProcessesDataAIBusiness Outcomes
Results appear when leadership, operating model, data foundations, and AI execution are designed as one accountable system. In prior operating roles, that approach produced:
What I look for next
Open to selected executive opportunities
Roles where technology is central to the strategy and the mandate is real transformation with measurable outcomes: CTO, VP or Director of Engineering, Head of AI, and AI engineering leadership. Remote, hybrid, or relocation, across the United States, Latin America, and global organizations. English C2 · Native Spanish.
Current role
Learning Facilitator, Applied Generative AI and Agentic AI
MIT Professional Education · In collaboration with Global Alumni · Jun 2025 - Present · Remote
- I facilitate and mentor senior leaders and global executives.
- I guide AI use-case selection and prioritization tied to business value.
- I support value measurement, delivery governance, and operating cadence.
- I cover Responsible AI, data readiness, security, and risk management.
- I help leadership teams turn AI strategy into practical execution.
- I facilitate sessions bilingually in English and Spanish.