Chemistry Jobs at Sanofi | R&D Data Steward Manager Associate Role
Chemistry Jobs at Sanofi | Apply Now. Sanofi is hiring an R&D Data Steward Manager Associate in Hyderabad to strengthen its global R&D Data Office. This role sits at the intersection of life sciences, data governance, and digital transformation, offering professionals with a background in biological sciences an opportunity to shape FAIR, high-quality R&D data standards that accelerate global drug development and patient impact.
- Job Title: R&D Data Steward Manager Associate
- Location: Hyderabad
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
- 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
- Oversee data pipeline and availability 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.
- Oversee junior data stewards and/or business analysts based on complexity or size of initiatives/functions supported
Deliverables:
- Defines Data quality and communication metrics for assigned domains and 1-2 business functions
- Implements continuous improvement opportunities such as functional training
- Accountable for data quality and data management activities for the assigned domains.
- Facilitates data issue resolution
- Defines business terms and data elements (metadata) according to data standards, and ensures standardization/normalization of metadata
- Leads working groups to identify data elements, perform root cause and impact analysis, and identify improvements for metadata and data quality
- Regularly communicates with other data leads, expert Data Steward and escalates issues as appropriate
About You:
- Experience in Business Data Management, Information Architecture, Technology, or related fields
- Experience in bioinformatics is preferred, life sciences industry or academia is mandatory.
- 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
- 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: Candidates should have an educational background in biological sciences (biology or chemistry).
