R&D Data Steward Manager Associate

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.

• 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

• 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

• Experience in Data wrangling, Data programming, Business Data Management, Information Architecture, Technology, or related fields ,Demonstrated ability to understand end-to-end data use and needs

• Experience in CMC (Chemistry manufacturing & control) experience in R&DCRO/Pharma 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: Scientific or life sciences background