R&D Data Steward

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:

The R&D Data Steward plays a critical role in the intersection between business and data, where stewards will guide business teams on how to unlock value from data. This role will drive definition and documentation of R&D data standards in line with enterprise. Data stewards will place heavily cross-functional roles and must be comfortable with R&D data domains, data policies, and data cataloguing.

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 data management etc) and associated initiatives

• Document data governance policies, standards and procedures for R&D data

• Maintain documentation and act as an expert on data definitions, data flows, legacy data structures, access rights models, etc. for assigned domain

• Document R&D level standards on the nomenclature, content, and structure of information (structured and unstructured data) and metadata, glossaries, taxonomies

• Manage and maintain quality and integrity of data via data enrichment activities (E.g., cleansing, validating, enhancing etc)

• Understand and adopt data management tools such as R&D data catalogue, etc

• Develop effective data sharing artifacts for appropriate usage of data across R&D data domains

• Ensure the seamless running of the data-related activities and verify data standard application from ingest through access

• Oversee data pipeline and availability and escalate issues where they surface; ensure on-schedule/on-time delivery and proactive management of risks/issues

• Work with R&D teams on standards and information management principles, methodologies, best practices, etc.

Deliverables:

• Follows defined processes to embed data cleaning, quality, and communication metrics into the CMC – Chemical, Manufacturing & Control – business domain

• Maintains valid value lists (vocabularies) on reference tables for the CMC – Chemical, Manufacturing & Control – data domain

• Supports the senior and expert Data Stewards with enhancing data standards, business terms, rules, policies and processes for their functional scope, including any region-specific requirements

• Supports execution of defined Data Governance processes

• Supports compliance of defined Data policies

About you

• Experience in Business Data Management, Information Architecture, Technology, or related fields,General knowledge of the Pharma R&D Business domains (e.g., across research, clinical, regulatory etc)

• Good knowledge in the Pharma R&D CMC domain – Chemistry Manufacturing and Controls domain is a plus,Ability to understand data processes in the scientific laboratory context and requirements from CMC Lab Scientists

• Solid grasp of data governance practices and track record of implementation,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, Excellent interpersonal skills (team player)Experience in data management and data stewardship in systems used in laboratories context: electronic Lab Notebook (eLN), Laboratory Information Management System (LIMS), Scientific Information Management Systems (SDMS), Laboratory Execution System (LES)

• Familiar with data management practices and technologies such as: data cataloguing,data modelling & ontology management, data quality frameworks,data wrangling and visualization tools with tools such Power BI, Dataiku

• Agile mindset and practice Knowledge of pharma R&D industry regulations and compliance requirements related to data governance

• Bachelor's in computer science, Business, Engineering, Information Technology