Job Description

About Company:
Our client 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, 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 Our client Is dedicated to making a difference on patients' daily life, wherever they live and enabling them to enjoy a healthier life.
An Ideal Candidate:
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.
Key Competencies:
1.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:
2.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
3.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)
4.Understand and adopt data management tools such as R&D data catalogue, etc
5.Develop effective data sharing artifacts for appropriate usage of data across R&D data domains
6.Ensure the seamless running of the data-related activities and verify data standard application from ingest through access
7.Maintain documentation and act as an expert on data definitions, data flows, legacy data structures, access rights models, etc. for assigned domain
8.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.
9.Oversee junior data stewards and/or business analysts based on complexity or size of initiatives/functions supporte
Defines Data quality and communication metrics for assigned domains and 1-2 business functions
10.Implements continuous improvement opportunities such as functional training
11.Accountable for data quality and data management activities for the assigned domains.
Facilitates data issue resolution
12.Defines business terms and data elements (metadata) according to data standards, and ensures standardization/normalization of metadata
13.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