Data-Flow Lead

GSK; Greater London; On-site; GBP 110,000 - 160,000; Full time

Job summary

GSK is seeking a senior data-flow lead to design and govern data flows across its R&D data landscape. You will deliver modular, end-to-end data flows and ensure governance built into the pipeline, driving trusted, automation-ready data for faster decision-making in a complex matrix environment.

The role requires hands-on experience with policy engines, metadata ecosystems, and cloud platforms (Azure/GCP). You will collaborate with R&D business leads and the Data Value Office to standardize and

Qualifications

• Degree-level education in computer science, mathematics, statistics or related field.
• Experience translating business needs into technical data requirements and insights.
• Knowledge of metadata ecosystems and agentic solutions.
• Hands-on with policy engines and translating governance into executable Policy as Code.
• Experience integrating multiple data sources into unified data-flows with privacy by design.
• Proficiency with Azure, GCP, and related AI/digital tools.

Responsibilities

• Translate business needs into technical data requirements for seamless data-flow integration.
• Design and maintain end-to-end data-flows across R&D systems.
• Ensure data-flows are compliant-by-design and properly orchestrated.
• Deliver pre-packaged data-flows with documented specifications.
• Integrate diverse data-flows into a unified machine-readable format.
• Quality control, documentation, and handover to R&D teams for scale.
• Coach and peer review to enforce industry best practices.

Skills

AI

Computational Sci

Programming

Data Analysis

Data Management

Data Modeling

Data Science

Predictive Modeling

Statistical Models

Education

Degree in CS/Math/Statistics

Tools

Azure

GCP

Job 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. If you believe data should move on its own and still arrive trusted, then this role could be for you.

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. Your mission is to make R&D data visible, trusted and automation-ready (by default) so teams can decide faster and scale agentic solutions with confidence (whilst keeping the human expert in the loop).

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. This extends to quantifying and providing insights into business impact and value creation arising from data-flow activities.
• Coaching and peer review to ensure the team's work reflects industry best practice for data-flow creation activities, including data standards.

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

Please Note: If the successful applicant is based at Stevenage site: This role will temporarily be based at Stevenage. However, the Company plans to relocate its offices to Cambridge, UK. The location of this role will therefore subsequently change to Cambridge UK, in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029.

About You

Please note that this role is not a documentation role. We are looking for a capable technical subject matter expert with experience of delivering sophisticated date-flow solutions. You will be confident with metadata ecosystems and agentic workforces (and related agentic decision-making processes). We are currently operating with Azure (but applicants with experience of similar systems are encouraged to apply, including GCP). As this role is multi-faceted and includes collaborating / liaising with a wide variety of stakeholders and matrix teams you must have strong experience of working in complex matrix-environment, with demonstrable clear problem-solving approach to your work.

About GSK

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together. Find out more - our approach to R&D: https://www.gsk.com/en-gb/innovation/

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

Basic Qualifications

• 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

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