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.
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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 initiatives
- Directly 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 initiatives
- Influence, design, and document data governance policies, standards and procedures for R&D data
- Drive 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, 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
- Maintain documentation and act as an expert on data definitions, data flows, legacy data structures, access rights models, etc. for assigned domain
- Establish quality KPI for monitoring purposes
- Create, maintain and oversee data pipelines and escalate issues where they surface; ensure on-schedule/on-time delivery and proactive management of risks/issues
- Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc.
- Handle the change process, implementing changes validated by the business
- Oversee junior data stewards and/or business analysts based on complexity or size of initiatives/functions supported
- Familiar 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 organizational
- Leads continuous improvement opportunities such as functional training
- Champions data issue identification and resolution
- Facilitates data strategy planning for their data domain(s)
- Advises Data Governance working groups
- Leads 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 processes
- Accountable for cross functional domains, alignment on data management and practices across functions
- Data 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 needs
- Knowledge 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 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
- Ability to program and/or script in Python, R, shell script
- Knowledge of data wrangling and visualization tools such as Tableau, Spotfire, Dataiku
- Experience with cloud computing platforms, AWS, Azure.
- Experience with knowledge management tools such as Confluence
- Experience with project management tools such as Jira.
- Education: Bachelors in Computer Science, Business, Engineering, Information Technology
- Languages: English
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