Data-Flow Lead
GSK is hiring a Data-Flow Lead for a remote role open to applicants in United Kingdom. Level rates it ; you can apply on GSK.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include data governance, data engineering and compliance.
- Level lists 839 other open roles at GSK.
- The role was posted in the last few days.
AI in this role
Design and govern modular end-to-end data flows and compliance-as-code pipelines to make R&D data automation-ready.
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 (include..):
- 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/
APPLICATION CLOSING DATE – Monday 9th of November 2026 (COB).
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
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.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at UKRecruitment.Adjustments@gsk.com where you can also request a call.
Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/
How we rate this
Data-Flow Lead at GSK rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where compliance was part of your work. What did you do?
- Tell me about a project where pipeline architecture was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Data Governance, Data Engineering, Compliance, and Pipeline Architecture. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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