Data Flow Lead – R&D Governance & Automation

GSK

East Hertfordshire

On-site

GBP 90,000 - 130,000

Full time

12 days ago

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Job summary

GSK is seeking a senior technical builder to design and govern data-flows across its R&D data ecosystem. The Data Flow Lead will translate business needs into robust data requirements, build modular, end-to-end data flows, and ensure governance and compliance are built into the pipelines by design.

Based in the UK, the role involves collaborating with R&D business leads, data platform teams, and the DVO to deliver trusted, automation-ready data flows that scale with the organization.

Qualifications

  • Degree-level education in a technical domain.
  • Experience translating business needs into technical data requirements.
  • Knowledge of metadata ecosystems and governance concepts.
  • Experience with policy as code and data-flow automation.

Responsibilities

  • Manage development of data-flow requirements with R&D leads and data platform teams.
  • Design, develop and maintain modular end-to-end data-flows across R&D systems.
  • Ensure data-flows comply with design-for-compliance principles.
  • Deliver pre-packaged data-flows with documented specifications.
  • Integrate diverse data-flows into a unified machine-readable format across R&D.
  • Quality control and documentation; enable handover to functional leads.
  • Coach and peer-review to align with industry best practices.

Skills

AI
Computational Sciences
Computer Programming
Data Analysis
Data Management
Data Modeling
Data Science
Predictive Modeling
Statistical Models

Education

BS/MS/PhD in CS/Math/Stats

Tools

Azure
GCP

Job description

GSK is seeking a senior technical builder to design and govern data-flows across its R&D data ecosystem. The Data Flow Lead will translate business needs into robust data requirements, build modular, end-to-end data flows, and ensure governance and compliance are built into the pipelines by design.

Based in the UK, the role involves collaborating with R&D business leads, data platform teams, and the DVO to deliver trusted, automation-ready data flows that scale with the organization.

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