R&D Data Steward Associate Job in Hyderabad at Sanofi

Sanofi is hiring for the role of R&D Data Steward Associate!

Responsibilities of the Candidate:

• 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.
• Facilitate communication between business and technical teams to ensure mutual understanding and alignment on data management practices
• Understanding the comprehensive processes and governance frameworks to ensure data protection and compliance

Requirements:

• Experience in Business Data Management, Information Architecture, Technology, or related fields
• 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