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:

• 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 data catalogue, Master Data Management, Data Quality etc. using tools from Informatica (CDGC, CDQ, Marketplace and others in their suite of cloud data management products)
  
• 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 business and technical 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
  

2. About you

• Experience: 8+ 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)
  
• 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
  

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