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:

Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives; understand how to influence direction and progression of key initiativesDirectly or in-directly lead junior data roles (e.g., business analysts, data modelers, data stewards etc) across end-to-end data activities (ingest through access)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 initiativesInfluence, design, and document data governance policies, standards and procedures for R&D dataDrive data standard adoption across capabilities and initiatives; 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, etcDevelop 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 accessMaintain documentation and act as an expert on data definitions, data flows, legacy data structures, access rights models, etc. for assigned domainEstablish quality KPI for monitoring purposesCreate, maintain and oversee data pipelines and escalate issues where they surface; ensure on-schedule/on-time delivery and proactive management of risks/issuesEducate and guide R&D teams on standards and information management principles, methodologies, best practices, etc.Handle the change process, implementing changes validated by the businessOversee junior data stewards and/or business analysts based on complexity or size of initiatives/functions supportedFamiliar with key industry or pharma R&D trends and data policies, and applies/educates team on implications in day-to-day activities

Deliverables:

Brings Industry standards to the organization and serves as organizationalLeads continuous improvement opportunities such as functional trainingChampions data issue identification and resolutionFacilitates data strategy planning for their data domain(s)Advises Data Governance working groupsLeads data stewardship for their data domain(s) and serves as the main point of contact for establishing and maintaining data strategies, standards, definitions, rules, policies and processesAccountable for cross functional domains, alignment on data management and practices across functionsData visualization and wrangling pipelines that potentially include standardization of terminologies through integration with ontology tools and connectivity with other internal tools.

3. About you

Experience: 7-9 years in Business Data Management, Information Architecture, Technology, or related fields
 Functional skills:Demonstrated ability to understand end-to-end data use and needsKnowledge of R&D data domains (e.g., across research, clinical, regulatory etc)Knowledge about a specific data domain among Large Molecules, NGS, chemistry (domain entities, related modalities, assays & experiments metadata)Solid grasp of data governance practices and track record of implementationAbility to understand data processes and requirements, particularly in R&D at an enterprise levelDemonstrated strong attention to detail, quality, time management and customer focusExcellent written and oral communications skillsStrong networking, influencing and negotiating skills and superior problem-solving skillsDemonstrated willingness to make decisions and to take responsibility for suchExcellent interpersonal skills (team player)People management skills either in matrix or direct line functionTechnical Skills Familiar with data management practices and technologies (e.g., Collibra, Informatica etc); experience in practices not requiredKnowledge of pharma R&D industry regulations and compliance requirements related to data governanceAbility to program and/or script in Python, R, shell scriptKnowledge of data wrangling and visualization tools such as Tableau, Spotfire, DataikuExperience with cloud computing platforms, AWS, Azure.Experience with knowledge management tools such as ConfluenceExperience with project management tools such as Jira.Education: Bachelors in Computer Science, Business, Engineering, Information TechnologyLanguages: English

Pursue Progress. Discover Extraordinary.

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. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together.

At Sanofi, we provide equal opportunities to all regardless of race, color, 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!

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, ability or gender identity.

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