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 R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's 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).

Position Summary:

Business analysts in the R&D Data Office play a pivotal role in translating business needs into use cases and requirements that are utilized by data solutioning teams. This role must have a strong understanding of R&D business processes and should be familiar with end-to-end data practices. The business analyst is a highly collaborative role and is expected to work across functions and capabilities to drive the best outcome for R&D business.

Main responsibilities:

Work in collaboration with R&D Data Office leadership (including the Data Capability and Strategy Leads), business, R&D Digital subject matter experts and other partners to:

Understand the data-related needs for various cross-R&D capabilities (e.g., data catalog, master and reference data management, data products, etc.) and associated initiatives

Identify and document use cases based on data needs tied to R&D business process, objectives, or initiatives

Design and document business cases to drive successful adoption of data initiatives and capabilities

Define and document business and technical requirements based on R&D business needs

Perform business-to-system analysis and support assessment of vendors based on business needs

Support communications and training needs for data capabilities as needed

Understand data and technology trends in R&D and pharma overall

Understand data governance policies, standards and procedures for R&D data

Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc.

Supports business case development, requirement identification, and use case development for business functions

Captures and documents business process definition, process performance, process execution, process management, and continuous improvement opportunities

Supports Data Stewards and Business Capability Leads in defining the key master and reference data elements for business processes

About you

Experience years of experience in business, data management, information architecture, technology or another related field

Strong understanding of data value statements

Experience with FAIR data principles

Demonstrated ability to understand end-to-end data use and business needs

Knowledge of R&D business process and data (e.g., across research, clinical, regulatory, etc.)

Must have played the role of a business translator bridging IT and R&D business teams in a project of some significance in size and impact

Demonstrated strong attention to detail, quality, time management and customer focus

Excellent written and oral communications skills

Strong networking, influencing and negotiating skills and superior problem-solving skills

Demonstrated willingness to make decisions and to take responsibility for such

Excellent interpersonal skills (team player)

Education: Bachelor’s or master’s degree in Life Sciences disciplines (Biology, Chemistry, Bioinformatics, Cheminformatics, etc.)

Languages: English