# Data Flow Lead

**Company**: GSK
**Location**: London
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Healthcare

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## Description

At GSK we are looking for a highly capable senior technical builder who can design and govern the data-flows that GSK’s Research & Development (R&D) division runs on.

The Data Flow Lead role reports directly into the Senior Director for Data Governance, Innovation & Automated Compliance, and sits within the Data Value Office (DVO) for the Chief Medical Officer (CMO) organization of GSK’s Research & Development (R&D) function.

This role is focused on delivering data-flows-as-product, compliance-as-code, and governance built into the pipeline (instead of bolted-on). You will turn scattered systems and sources into modular, reusable, end-to-end flows in one consistent format that can be used to its full potential throughout GSK’s R&D divisions.

**Key Responsibilities:**

- Manage the development of business requirements for data-flow (through collaboration with R&D business/functional leads and data platform colleagues) to translate business needs into technical data requirements and processes to ensure seamless data-flow integration and usage across the R&D ecosystem.

- Design, develop and maintain modular, end-to-end data-flows (spanning roles, interfaces, data and metadata, triggers and access) to integrate systems and data sources into trusted, reusable assets across R&D (including writing clean, readable code where required).

- Ensure data-flows support compliance-by-design; integrating, contextualising and orchestrating data and systems in line with compliance principles.

- Deliver pre-packaged, curated data-flows aligned to business requirements, which include documented data specifications describing processing steps required to generate each flow.

- Integrate diverse data-flows (eg; protocol development, Development Safety Update Report (DSUR) and clinical trial Individual Human Data (IHD)) into a unified machine readable format for consistent implementation and an end-to-end data ecosystem.

- Ensure deliverables are appropriately quality controlled, documented and, where required, able to be handed over to function leads and the R&D Tech team for scale implementation.

**Location:** GSK HQ London, Stevenage, or Ware R&D.

**About You:**

- Relevant degree-level education (eg; BS/MSc/PhD (or equivalent) in Computer Science, Mathematics, Statistics or a related subject).

- Relevant experience / knowledge of translating business needs into technical data requirements and processes, ability to quantify and provide insights into business impact and value creation from data-flow activities, and handling complex data-flow processes efficiently.

- Knowledge / experience of metadata ecosystems and agentic solutions.

- Relevant hands-on experience with policy engines, including translating governance requirements into practical, executable Policy as Code.

- Relevant experience in integrating multiple data sources and systems into unified reusable data-flows ( whilst ensuring data privacy and compliance-by-design).

- Proficiency with a range of digital tools (eg; Auzure, GCP) and experience leveraging AI or digital technologies to improve efficiency or insights.

## Skills

### Required
- Artificial Intelligence (AI)
- Computational Sciences
- Computer Programming
- Data Analysis
- Data Management
- Data Modeling
- Data Science
- Predictive Modeling
- Statistical Models

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