Capital Projects Digital & Data Analytics Lead

Role Summary

Lead for Capital Projects Digital & Data Analytics, responsible for defining and delivering digital, data analytics and Generative AI capabilities 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. Location options include UK (London), Belgium (Wavre), USA (Marietta, PA; Philadelphia, PA) with a hybrid on-site/remote model.

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, organization, protection, and decision rights for project and GenAI data and outputs.
• Translate business needs into clear, testable requirements for analytics and GenAI; design how tools connect to BIM, scheduling, cost, documents and sensors; verify vendor designs meet standards.
• Lead projects from prototype to production, manage internal teams and vendors; negotiate supplier terms with procurement to protect data/IP.
• Oversee GenAI models and manage datasets, updates, deployment, monitoring and cost; maintain prompt libraries for reproducible outputs.
• 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.
• In collaboration with Tech, manage GenAI and data risks: prevent data leaks, reduce hallucinations, protect OT, address bias and model drift; implement defensive 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 digital assets, models, prompt libraries and support arrangements to operations.

Qualifications

• Required: 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: 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).