The new Data Automation and Predictive Sciences (DAPS) function in Research Tech is focused on harnessing the power of GSK’s data-as-an-asset to drive research productivity and unlock our ambitions for patients.  As a member of the Research Data Standards & Governance team, the Research Data Steward holds the responsibility for managing the lifecycle of research data operational activities by establishing and maintaining data standards and governance practices, to ensure data quality, accuracy, retention, security and compliance with regulatory requirements.  This task is not a one-time event but an ongoing process as data elements evolve and increase.
 

As Research data needs grow, they help define new data types, find new uses for existing data, and adapt to changing data standards and regulations.   In response to these changes, data stewards must consistently review and update data definitions and identify new data assets.  This ongoing process helps ensure the organization’s data’s clarity, accuracy, and usefulness. 
Responsible for ensuring appropriate scientific, technical, and operational data curation, along with comprehensive metadata management, to support data discoverability, usability, and governance.

Positioning the role within a centralized function within DAPS will require close collaboration across Research Tech, TAs, AIML, R&D Tech (Onyx and Development Data Fabric) Risk & Compliance, and other lines within the function itself.  Specifically, this position involves the need to work closely with Subject Matter Experts (SMEs) and IT teams (principally the Onyx Research Data Platform team) to establish, maintain data governance practices, standards, and best practices, ensuring appropriate controls are in place. 

 
This is an individual contributor role that will require the post holder to help develop and operate as part of a high-performing team.  We are seeking a highly skilled and experienced expert in data governance that thrives in a culture of collaboration, curiosity, consistency, agility, quality, peer review, and continuous improvement with a relentless focus on enabling value realization through end-user uptake and measuring impact.

Key responsibilities for the Research Data Steward Lead include:

Data content expertise

• Data Lifecycle Management (ALCOA+++ & FAIR Principles):

Understanding and experience of managing the full lifecycle of research data, from acquisition to disposal, ensuring that data adheres to the ALCOA+++ principles (Attributable, Legible, Contemporaneous, Original, Accurate, Complete, Consistent, Enduring, and Available).Implementation of the FAIR (Findable, Accessible, Interoperable, Reusable) principles to maximize data reusability and sharing across systems, promoting data integrity and regulatory compliance.

• Data Curation & Structuring:

Leading development of the appropriate data definitions, working with Scientific Knowledge Engineers and Data Architects to then implement the best schemas and ontologies.These to organize and structure scientific data for optimal usability, ensuring proper classification, labeling, and documentation to support research reproducibility and interoperability.

• Metadata Management:

Working with SMEs and Onyx to define and maintain comprehensive standardized definitions across both scientific and operational metadata; where possible aligning to industry standards.Ensuring these are implemented in GSK systems and continuously assessed to improve data discoverability, alignment with emerging regulations and standards.

Data Governance

• Governance, Ethics, and Privacy:

Collaborate with data owners, compliance teams, and business partners to enforce robust data governance policies. Ensure data management practices adhere to ethical standards and comply with privacy regulations (e.g., GDPR, HIPAA) when handling sensitive data, especially human data. Maintain strict compliance with legal and ethical frameworks to protect participant privacy.

• Data Governance & Compliance:

Define and implement data classification, security, usage, and quality standards in adherence to data governance and compliance policies. Establish data quality checks and collaborate with Data Product Owners (DPO) and subject matter experts to resolve issues as they arise

• Access Control & Data Registration:

Working with Onyx to assess and manage new data ingestion/access requests in line with established policies, ensuring appropriate access controls are in place and evolve as needed.Support accurate dataset registration, ensuring the inclusion of minimal metadata to faci