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    Alessandro Catorcini

    Technical Program Management at Stripe

    Alessandro Catorcini is a seasoned professional with 23 years of experience in program and project deployment management, adept at managing direct reports of up to 35 employees, including offshore teams. His expertise encompasses building groups, focusing on employee development, and excelling in new product development using Agile/Scrum methodologies.

    With a strong background in liaison and process improvement leadership, Alessandro has a proven track record in infrastructure and workflow design, custom software solutions, system migration, integration, and implementation. He is skilled in project budgeting, scheduling, timelines, data integration, ingestion, and effective vendor management. Alessandro's innovative approach has led to the awarding of 15 patents in his career.

    Alessandro Catorcini holds a Master's degree in Electronics Engineering from Università degli Studi di Genova, a Graduate Certificate in Project Management from the University of Washington, and a Naval Officer Commission in Electrical and Electronics Engineering from Accademia Navale.

    Throughout his career, Alessandro has held key positions in reputable organizations, including Technical Program Manager at Stripe, Senior Principal Technical Program Manager at Oracle Cloud Infrastructure, and Chief of Staff for the VP of Infrastructure at Oracle. He has also served in various leadership roles at Microsoft, Amazon, and Rina spa. Alessandro's extensive experience includes managing teams of different sizes, from 4 to as many as 35 direct reports, showcasing his ability to lead diverse groups effectively.

    Highlights

    Jul 25 · Nature.com
    Prediction of stability coefficient of open-pit mine slope based on ... - Nature.com
    Prediction of stability coefficient of open-pit mine slope based on ... - Nature.com
    Apr 24 · Nature.com
    A ubiquitous method for predicting underground petroleum deposits ... - Nature.com
    A ubiquitous method for predicting underground petroleum deposits ... - Nature.com