Capital Projects Digital & Data Analytics Lead

Business Introduction

We manufacture and supply reliable high-quality medicines and vaccines to meet patients needs and drive our performance. Our network of 37 medicines and vaccines manufacturing sites delivered 1.7 billion packs of medicines and 409 million vaccine doses in 2024 to help make a positive impact on the health of millions of people. Our supply chain is not just core to our operations; its vital to bringing our innovations to patients as quickly efficiently and effectively as possible. Technology is transforming how we manufacture medicines and vaccines enabling us to increase the speed quality and scale of product supply. We need the very best minds and capability to help us on our journey to make more complex products harnessing the power of smart manufacturing technologies including robotics digital solutions and artificial intelligence to deliver for patients.



Position Summary

As the Lead you will be the single point of accountability for defining and delivering in collaboration with Tech department digital data analytics and Generative AI (GenAI) capabilities that unlock value across capital project delivery (design construction commissioning handover). You will translate enterprise strategy into pragmatic project-level solutions drive safe adoption mentor a delivery team and ensure handover to operations

Responsibilities

• Own the programmes digital data and GenAI plan and goals; pick and prioritise the highest-value projects and report progress to sponsors.

• Advise GCP leaders and governance groups on opportunities risks and value; run cross-functional working groups to agree requirements approve projects and resolve issues.

• Set and enforce rules for who owns and manages data how its organised and protected and who can make decisions about project and GenAI data and outputs.

• Turn business needs into clear testable requirements for analytics and GenAI work; design how these tools will connect to BIM scheduling cost documents and sensors and check vendor designs meet our standards.

• Lead projects from prototype to production managing internal teams and vendors; negotiate supplier terms in collaboration with procurement that protect our data and IP.

• Oversee GenAI models and manage datasets model updates deployment monitoring and cost and keep prompt libraries so outputs are reproducible.

• Apply strictly GenAI governance and ethics: track data/source provenance consent/IP rules retention acceptable use human review points and audit trails; coordinate with Legal InfoSec and regulators.

• Deliver analytics and GenAI decision support (dashboards assistants) integrated into project checkpoints (design reviews QA/QC commissioning handover).

• Drive change training and adoption: build GenAI skills role-based workflows and a centre of practice; provide validated prompt guides and measure adoption and value.

• In collaboration with Tech manage GenAI and data risks: prevent data leaks reduce hallucinations protect OT address bias and model drift; use defensive controls like private models encryption and access controls and keep traceability for AI-influenced decisions.

• Lead a small cross-functional delivery team create reusable standards and workflows capture lessons learned and hand over all digital assets models prompt libraries and support arrangements to operations.

Qualifications/Skills

Basic Qualifications:

• Extensive years in capital project delivery or project controls with proven experience leading digital/data/analytics initiatives in EPC pharma heavy industry or infrastructure.

• Delivered end to end analytics/BI solutions and integrated engineering/project systems (BIM/digital twin Primavera/MS Project cost systems EDMS CMMS IoT/OT).

• Practical experience with GenAI/LLMs (prompting fine tuning or model selection) MLOps (model registry versioning monitoring retraining) and embedding models into workflows.

• Managed multidisciplinary teams and vendors; negotiated contracts with data/IP protections.

• Strong stakeholder engagement with PMO/Project Directors and governance bodies.

• Knowledge of data governance security and regulated environment compliance (GxP awareness desirable).

Preferred Qualifications:

• Pharma/regulated industry capital project experience.

• Delivered GenAI use cases (document summarisation/extraction conversational assistants automated change request drafting).

• Built digital twin use cases for sequencing clash detection or commissioning simulation.

• Familiarity with cloud (AWS/GCP/Azure) Databricks/Spark BI tools (Power BI/Tableau) and MLOps frameworks (MLflow/Kubeflow).

Work Location:

This role can be based in the United Kingdom (GSK HQ London) or Philadelphia USA Wavre Belgium and offers a hybrid working model combining on-site and remote work.

Closing Date for Applications: 19th January 2026

Please take a copy of the Job Description as this will not be available post closure of the applying for this role please use the cover letter of the online application or your CV to describe how you meet the competencies for this role as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

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 were 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.

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