Technical coordinator of MBA in Artificial Intelligence, Data Science e Big Data at Faculdades Ibmec
📍 Rio de Janeiro, Rio de Janeiro, Brazil
Alessandro is a consultant and professor with over 20 years of experience specializing in project management, AI, and big data. He holds a Doctor of Engineering, a Masters Certificate in Project Management from George Washington University, and has taught over 40, 000 professionals from organizations like the UN and Petrobras. Colleagues describe him as insightful, practical, and dedicated.
He has authored several books on project management, combining deep academic knowledge with practical, internationally recognized methodologies like PRINCE2.
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Experience
29 Years
Current Role
Technical coordinator of MBA in Artificial Intelligence, Data Science e Big Data
Job Level
Senior
Location
Rio de Janeiro, Rio de Janeiro, Brazil
Personality Overview
How Alessandro shows up
Information Seeker
Precise
Critic
It is very likely that they will negotiate pricing or other important terms. They prefer to analyze logically and value objective facts over emotions. Unless the value is proven by data, they are unlikely to value fancy features.
Priorities
Topics Alessandro cares about
AI in Management
He coordinates MBA programs in Artificial Intelligence and focuses on employing technologies like AI to optimize project and team efficiency.
Project Leadership
His writings emphasize leadership beyond technical skills, focusing on navigating team dynamics and the strategic conversations required for project success.
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Career
Work history
1-2024 - 4-2025
Technical coordinator of MBA in Artificial Intelligence, Data Science e Big Data
Faculdades Ibmec
1-2022 - 11-2024
Technical coordinator of MBA in Artificial Intelligence and MBA in Big Data
Faculdades Ibmec
1-2021
Consultant and Professor of Project Management and Artificial Intelligence
RARO Project Training Center
1-2014
Consultant and PRINCE2 Approved Trainer
RARO Project Training Center
1-2014
Professor
Estácio
In the press
Media appearances
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Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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