Job Description

About us


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 Master Data Management Data Stewardplays 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, R&D MDM Data Capability Lead, 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 Master 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 1-2 business functions within the organization
• Maintains valid value lists (vocabularies) on reference tables
• 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 : 2-5 years in Business Data Management, Information Architecture, Technology, or related fields, Preferablyin pharmaceutical industry, in R&D
• Functional skills:
+ Demonstrated ability to understand end-to-end data use and needs
+ Knowledge of R&D data domains (e.g., across research, clinical, regulatory etc)
+ Solid grasp of data governance practices and track record of implementation
+ Ability to understand data processes and requirements, particularly in R&D at an enterprise level
+ 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)
+ People management skills either in matrix or direct line function
• Technical Skills
+ Familiar with data management practices and technologies (e.g., Collibra, Informatica etc); experience in practices not required
+ Knowledge of pharma R&D industry regulations and compliance requirements related to data governance
• Education : Bachelors in Computer Science, Business, Engineering, Information Technology
• Languages : English


Pursue progress, discover extraordinary


Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.


At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.


Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!