Intern Data Governance Officer M/F

The Agence du Numérique en Santé (ANS) accompanies the digital transformation of the healthcare system in France. It works, alongside its institutional and professional partners, to ensure trust in digital health, secure data exchanges, and promote tools for the quality of care and the management of the healthcare system.

You will join the Data Services Center of the Operations Directorate (DOPS). This cross-functional team supports the ANS's business programs in data valorization, manages the data platform and the e-Health Observatory, and contributes to the dissemination of reliable data processing and exploitation practices. To facilitate access to, understanding of, and use of data by teams and artificial intelligence tools, the center is strengthening its governance, processes, and documentation. You will participate in the evaluation of existing practices and the implementation of concrete improvements.

🎯 Main Missions

Evaluate and evolve data governance

• Audit existing governance processes and compare them to best practices applicable to Data platforms.

• Assess the maturity level of processes, identify areas for improvement, and propose new mechanisms.

• Contribute to the development of a plan for evolving practices, and then to the implementation of selected actions.

Improve data access and documentation reliability

• Review and enrich existing documents, particularly the data catalog, and create missing documentation.

• Produce materials that facilitate the understanding and identification of data models, including for generative AI tools.

• Contribute to the study aimed at translating natural language requests into SQL queries, and then formalize the governance framework in documents adapted to directorates and operational teams.

🧑‍🎓 Profile Sought

• You are a student in higher education, at Bac+4 or Bac+5 level, in a computer science, data management, or information systems program.

• You are looking for an internship of 6 months starting January 2027.

• You imperatively master SQL and have solid knowledge in data modeling and data flow mapping.

• Ideally, you have previous experience in project management assistance with a significant Data dimension.

• You are rigorous, curious, and adaptable, with good synthesis skills.

• You can write quality notes, guides, and documentary repositories and are comfortable both in writing and speaking.