Data-Flow Specialist

In this role you will design and deliver modular, end-to-end data-flows as reusable assets within GSK’s R&D, embedding governance and compliance into the pipeline. You will turn scattered sources into trusted, automation-ready flows that scale across the organization, while keeping human expertise in the loop. You’ll both deliver hands-on data-flow work and provide coaching to uphold industry best practices. This is a chance to shape a unified data ecosystem that accelerates decision-making in R&D.

• Design, develop and maintain modular end-to-end data-flows across R&D and integrate systems and data sources into trusted, reusable assets
• Ensure data-flows are built with compliance-by-design, orchestrating data and systems per governance principles
• Deliver pre-packaged, curated data-flows aligned to business requirements with documented data specifications
• Integrate diverse data flows (protocol development, DSUR, clinical trial IHD) into a unified machine-readable format for end-to-end ecosystem
• Ensure deliverables are quality-controlled, documented and ready for handover to function leads and the R&D Tech team for scale
• Provide coaching and peer review to ensure adherence to data-flow standards and industry best practices

• Relevant degree-level education in Computer Science, Mathematics, Statistics or related subject
• Expertise in data-flow design and orchestration (pre-processing, integration, contextualisation and governance)
• Proficiency in integrating multiple data sources into unified, reusable data-flows
• Knowledge of metadata ecosystems and building agentic solutions
• Proficiency with Azure and GCP; experience applying AI or digital technologies to improve efficiency or insights

• Complex-matrix environment experience
• strong problem-solving approach
• collaboration and stakeholder engagement
• Data-flow design and orchestration
• System integration of diverse data sources
• Metadata ecosystems