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Hamza SADAOUI

@hamzasadaoui

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AI & data governance leader driving FAIR data quality and responsible Data for AI across enterprise programs.

France

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What I'm looking for

I’m looking to lead data governance and responsible AI programs—turning enterprise data policies into measurable FAIR, quality and lifecycle controls, and partnering with IT and business to deliver scalable data platforms.

I lead AI & data governance programs focused on measurable data quality, FAIR maturity, and responsible “Data for AI” outcomes. I’ve designed and operationalised the EC Data Quality & FAIR maturity framework (Levels 1–5), translating governance into usable questionnaires, KPIs, pilots, and data-asset integration in the EC Data Catalogue.

I also set up the Data for AI governance framework, including the Data for AI Management Guide & Checklist. Using expertise in GenAI architectures (e.g., ﬁne-tuning, RAG, RLHF), I help teams manage AI data lifecycle risks such as hallucination, data leakage, poisoning, and retrieval risks.

Previously, as DATA PROJECT DIRECTOR at SGP, I directed the scoping and design of a Data Supervision Platform for the Grand Paris Express metro lines. I led architecture analysis and delivered full Tender Documentation (DCE), aligning IT strategy with long-term business supervision needs.

At THALES, I was CHIEF DATA OFFICER, managing around fifteen data experts and leading project delivery for data intelligence platforms using AI and Big Data. Earlier, I built deep analytical and machine learning expertise as a DATA SCIENTIST in healthcare and as a STATISTICIAN at INSERM (Competing Risks / survival analysis), grounding my governance work in rigorous data science.

Experience

Work history, roles, and key accomplishments

Current

AI & Data Governance Manager

Current

European Commission

May 2025 - Present (1 year)

Led EC corporate initiatives on Data Governance, Data Quality & FAIR maturity, Data for AI (incl. GenAI/RAG) and AI Act data compliance, coordinating external providers across DGs. Designed and operationalised a Data Quality & FAIR maturity framework (Levels 1–5) and a Data for AI governance framework, integrating governance requirements into IT project/portfolio governance and delivering multi-mo

Data Governance Data Quality FAIR Maturity KPI Design

Data Project Director

Société Des Grands Projets (SGP)

Oct 2024 - Apr 2025 (6 months)

Directed the scoping and design of a Data Supervision Platform for the Grand Paris Express metro lines (15–18), in collaboration with the Information Services Director. Produced the full tender documentation (DCE), including technical specifications, and defined stakeholders, data sources, risks, dependencies and milestones through multi-stakeholder governance workshops.

Data Platform Scoping Data Supervision Systems Stakeholder Management Data Architecture Risk Management Governance Workshops

Chief Data Officer

Thales

Mar 2023 - Sep 2024 (1 year 6 months)

Managed ~15 data experts delivering 10+ AI and Big Data intelligence platforms supported by KDL. Owned end-to-end data platform components (storage, ingestion/pre-processing, prediction/modeling, analysis/visualization, security/governance), ran PI scheduling and backlog/alert operations, and managed budgets and data governance including an internally built repository component.

Data Governance Data Architecture Data Engineering CI CD AWS Snowflake

Data Project Manager

Euro Information - Crédit Mutuel

Sep 2022 - Feb 2023 (5 months)

Led cross-functional data projects including cloud migration planning for the Confédération Nationale du Crédit Mutuel (CNCM), covering roadmap, specifications, costing and monitoring. Implemented dynamic analytics use cases with QlikSense using validated data from SID and Vertica cloud, and ensured data governance through validation of masters against predefined standards using WebFOCUS.

Cloud Migration Data Governance WebFocus Data Validation AWS Vertica

Data Project Manager

Hôpitaux Universitaires De Strasbourg

Feb 2018 - Aug 2022 (4 years 6 months)

Independently led 3–5 data projects per year using Scrum, planning and reporting progress while managing backlogs and user stories. Administered an internal data platform, deployed data/dashboard interfaces, and set up a data repository for the medical information department.

Scrum Agile Backlog Management Dashboard Development Python Jira Confluence

Data Scientist

Hôpitaux Universitaires De Strasbourg

Sep 2014 - Jan 2018 (3 years 4 months)

Conducted machine learning projects in healthcare, performing knowledge extraction from structured/semi-structured data, data exploration and statistical/predictive modeling. Built and validated models such as patient length-of-stay regression and gestational diabetes risk classification, and delivered healthcare dashboards plus a Web application using Shiny.

Machine Learning predictive modeling Statistical Analysis Healthcare Analytics Data Visualization Python SQL

Statistician

Inserm CÉPIDC

Mar 2014 - Aug 2014 (5 months)

Modeled mortality by cause using competing risk approaches (including Cox and cause-specific risk) on a permanent demographic sample of ~300,000 individuals. Developed a new method and R package and compared it with classic models, contributing to a published scientific article.

Survival Analysis Competing Risks Cox Model Cause Specific Risk Data Analysis Method Development