Capital Projects Digital & Data Analytics Lead

Role Summary

Capital Projects Digital & Data Analytics Lead. You will be the single point of accountability for defining and delivering, in collaboration with the Tech department, digital, data analytics and GenAI capabilities that unlock value across capital project delivery (design, construction, commissioning, handover). 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.

Responsibilities

• Own the programme’s 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 data ownership, organisation, protection, and decision rights for project and GenAI data and outputs.
• Turn business needs into clear, testable requirements for analytics and GenAI work; design how these tools connect to BIM, scheduling, cost, documents and sensors, and ensure vendor designs meet standards.
• Lead projects from prototype to production, manage internal teams and vendors; negotiate supplier terms with procurement to protect data and IP.
• Oversee GenAI models and manage datasets, updates, deployment, monitoring and cost; maintain prompt libraries to ensure outputs are reproducible.
• Apply GenAI governance and ethics: track data 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.
• Manage GenAI and data risks with Tech: prevent data leaks, reduce hallucinations, protect OT, address bias and model drift; implement defensive controls and maintain 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

• Required: Extensive experience in capital project delivery or project controls, with proven leadership of digital/data/analytics initiatives in EPC, pharma, heavy industry or infrastructure.
• Required: Delivered end-to-end analytics/BI solutions and integrated engineering/project systems (BIM/digital twin, Primavera/MS Project, cost systems, EDMS, CMMS, IoT/OT).
• Required: Practical experience with GenAI/LLMs (prompting, fine tuning or model selection), MLOps (model registry, versioning, monitoring, retraining) and embedding models into workflows.
• Required: Managed multidisciplinary teams and vendors; negotiated contracts with data/IP protections.
• Required: Strong stakeholder engagement with PMO/Project Directors and governance bodies.
• Required: Knowledge of data governance, security and regulated environment compliance (GxP awareness desirable).
• Preferred: Pharma/regulated industry capital project experience.
• Preferred: Delivered GenAI use cases (document summarisation/extraction, conversational assistants, automated change request drafting).
• Preferred: Built digital twin use cases for sequencing, clash detection or commissioning simulation.
• Preferred: Familiarity with cloud (AWS/GCP/Azure), Databricks/Spark, BI tools (Power BI/Tableau) and MLOps frameworks (MLflow/Kubeflow).