CV

Current Roles

Co-Founder at Thembi

Contract Professor at IULM

Contact

Via Tortona 12, Milano

+39 3292038171

alessandro.saccoia@gmail.com

Co-Founder

05/2023 - Present

Thembi

Architected and implemented PolicyManager and StreamScope from scratch AI-powered platforms that transform complex data streams into actionable insights.

Contract Professor

09/2022 - Present

IULM University and AI Lab, Italy

I deliver the Data-Driven Marketing and Artificial Intelligence courses for the Master Degree in Communication.

CTO

09/2022 - 09/2023

IULM AI Lab, Italy

Provided strategic oversight for the IULM AI Lab projects, focusing on marketing AI, automation, and digitalization for client success.

Independent Researcher

05/2023 - Present

Independent

Conducting independent research in AI systems, especially in Knowledge Representation and LLMs, while launching a boutique AI consultancy specializing in intelligent monitoring systems.

Senior Product Manager

04/2022 - 05/2023

Nielsen Media, Italy

Led marketing effectiveness delivery and strategy for key Italian publishers and clients, providing expert consultation and driving data-driven insights across omnichannel campaigns.

Performance Measurement Commercial

01/2021 - 03/2022

Vodafone Business, Italy

Leading a team of 10, I managed the development and refactoring of the B2B analytics products for Vodafone Business (Vodafone Analytics), translating business needs into technical solutions and ensuring customer-centric design.

Head Of Data Science

04/2018 - 12/2020

Beintoo, Italy

Defined and built Beintoo's Business Intelligence product line from scratch, specialising in Location Intelligence and programmatic advertising, leading a team of data professionals and external partners.

Technical Director & Interactive Producer

04/2012 - 12/2016

Dinahmoe, Sweden

Led digital production, brainstorming, and development across diverse projects, winning awards and collaborating with international teams for top agencies and clients.

Research Engineer

04/2010 - 03/2012

IRCAM, France

Collaborated on foundational research for music information retrieval and recommender systems, using advanced Machine Learning and Data Analysis to pave the way for platforms like Spotify.