Data Modeling Manager

About the job

Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients daily life, wherever they live and enabling them to enjoy a healthier life.

As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability interoperability and thus accelerate impact on global health.

The RD Data Office serves as a cornerstone to this effort. Our team is responsible for cross-RD data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across RD. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the RD value chain. As an integral team member, you will be responsible for defining how RDs structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable).

The RD Data Modeler develops conceptual and logical data models for initiatives, programs, and cross-RD capabilities. This role is critical for creation of data models and ontologies, and upkeep of models even beyond the conclusion of a project. Data modelers will apply and assist in the definition and governance of data modelling and design standards, tools, best practices, and related development of any RD data capability.