Analytics Project Manager

At the heart of the digital transformation of Cliniques universitaires Saint-Luc, the Analytics Project Manager coordinates cross-functional projects related to the reuse, sharing, and enhancement of health data.

Reporting to the Program Management Officer and working in close collaboration with the Head of Medical Data Analytics and the Reporting Manager, they act as the bridge between business needs, data teams, IT departments, researchers, medical teams, and external partners.

Key responsibilities include:

• defining and planning projects: requirements, resources, workloads, timelines, and deliverables;
• coordinating the activities of the Medical Data Analytics service and its partners;
• analyzing data flows, sources, and sharing methods;
  facilitating alignment between user needs and the technical capabilities of the EHR and the analytical infrastructure;
• ensuring data quality, security, and compliance monitoring;
• identifying risks and bottlenecks and contributing to their resolution;
  coordinating interactions with various internal and external stakeholders;
• contributing to process improvement, documentation, and automation;
• supporting technological and regulatory developments related to health data.

A key role in connecting data expertise, medical stakes, and project management, transforming hospital needs into concrete solutions.

We are looking for a professional capable of combining data expertise, an understanding of the hospital environment, and coordination skills.

Requirements:

• a degree in IT, engineering, mathematics, physics, or a similar scientific field;
• at least 4 years of experience in a hospital environment, ideally within an Electronic Health Record context;
• experience in project management and coordinating multidisciplinary stakeholders;
• a good knowledge of medical information systems and data flows;
• Epic certifications in at least two EHR modules;
• good proficiency in data extraction, processing, and transmission tools; knowledge of SQL and/or BI is a plus;
• a good understanding of data governance, security, and regulatory issues, particularly GDPR and the AI Act.

You are:

• analytical, structured, and solutions-oriented;
• organized and able to manage multiple projects and priorities;
• comfortable communicating with a variety of stakeholders, including medical, technical, and scientific profiles;
• diplomatic, collaborative, and service-oriented;
• autonomous, while enjoying teamwork;
• curious and motivated by the evolution of technologies and data usage.

Knowledge of Agile/Scrum methodologies as well as DevOps/MLOps concepts is an advantage.