Smart Manufacturing Execution Lead
GSK
August 17, 2026
Remote friendly (Collegeville, PA)
United States
Operations
Position Summary
The Smart Manufacturing Execution Lead is a global role accountable for executing the Smart Manufacturing strategy across the GSC network, accelerating “data to value” through Industry 4.0 capabilities and advanced analytics/AI.
Responsibilities
- Execute the Smart Manufacturing strategy; translate the vision into an outcome-based multi-year roadmap aligned to GSC objectives/governance.
- Lead value identification/prioritization at key sites (assess digital maturity, diagnose opportunities, quantify benefits, select projects).
- Deliver end-to-end Industry 4.0 solutions (IT/OT integration, manufacturing data intelligence, connected worker solutions, MES/eBR, SCADA/DCS integration, PAT, advanced analytics, lab automation, model predictive control, AI).
- Accelerate “data to value” via improved data availability, contextualization, and consumption models for decision-making/monitoring/optimization/advanced control.
- Build and lead cross-functional delivery teams (Ops, Quality, MSAT, Supply Chain, Engineering, Automation, Digital/Tech) to design, pilot, scale, and embed solutions.
- Define/maintain global standards and playbooks (solution design, validation, data integrity, cybersecurity, supplier delivery).
- Drive stakeholder engagement and adoption; remove barriers and influence senior/front-line teams.
- Ensure benefits realization via KPIs and reporting (productivity, OEE, yield, lead time, deviations, cost of poor quality).
- Develop capability through training/coaching and knowledge transfer; manage external partners.
Basic Qualification (required)
- Bachelor’s degree (or equivalent) in Science/Engineering/Advanced Technology/Automation/Data Science/AI (or related).
- 6+ years delivering complex, cross-functional transformation in regulated manufacturing; full project lifecycle from business case to hyper care/BAU.
- Strong manufacturing ops knowledge (process control, MES/eBR, OT/SCADA/DCS, cloud/edge) and cross-interface work with Quality/Engineering/Supply Chain.
- Advanced analytics/data science/AI applied to manufacturing/supply chain (anomaly detection, predictive monitoring, simulation, optimization, decision support, advanced control).
- Multi-site/global program leadership with external supplier reliance and matrix leadership.
- Continuous improvement, Six Sigma and/or Lean experience.
Preferred Qualification
- Stakeholder management/influencing; communicate technical topics in business terms.
- Value realization/financial acumen (business cases, KPIs, benefit tracking).
- Data integrity, GxP validation expectations, ISA-95/ISA-88, cybersecurity frameworks; compliant digital delivery.
- Knowledge of Quality, NPI/CMC, and Supply Chain processes and decision/data flows.
- MLOps experience; deploying/governing ML models in regulated environments.
- Experience in primary/secondary manufacturing (small or large molecule facilities).
The Smart Manufacturing Execution Lead is a global role accountable for executing the Smart Manufacturing strategy across the GSC network, accelerating “data to value” through Industry 4.0 capabilities and advanced analytics/AI.
Responsibilities
- Execute the Smart Manufacturing strategy; translate the vision into an outcome-based multi-year roadmap aligned to GSC objectives/governance.
- Lead value identification/prioritization at key sites (assess digital maturity, diagnose opportunities, quantify benefits, select projects).
- Deliver end-to-end Industry 4.0 solutions (IT/OT integration, manufacturing data intelligence, connected worker solutions, MES/eBR, SCADA/DCS integration, PAT, advanced analytics, lab automation, model predictive control, AI).
- Accelerate “data to value” via improved data availability, contextualization, and consumption models for decision-making/monitoring/optimization/advanced control.
- Build and lead cross-functional delivery teams (Ops, Quality, MSAT, Supply Chain, Engineering, Automation, Digital/Tech) to design, pilot, scale, and embed solutions.
- Define/maintain global standards and playbooks (solution design, validation, data integrity, cybersecurity, supplier delivery).
- Drive stakeholder engagement and adoption; remove barriers and influence senior/front-line teams.
- Ensure benefits realization via KPIs and reporting (productivity, OEE, yield, lead time, deviations, cost of poor quality).
- Develop capability through training/coaching and knowledge transfer; manage external partners.
Basic Qualification (required)
- Bachelor’s degree (or equivalent) in Science/Engineering/Advanced Technology/Automation/Data Science/AI (or related).
- 6+ years delivering complex, cross-functional transformation in regulated manufacturing; full project lifecycle from business case to hyper care/BAU.
- Strong manufacturing ops knowledge (process control, MES/eBR, OT/SCADA/DCS, cloud/edge) and cross-interface work with Quality/Engineering/Supply Chain.
- Advanced analytics/data science/AI applied to manufacturing/supply chain (anomaly detection, predictive monitoring, simulation, optimization, decision support, advanced control).
- Multi-site/global program leadership with external supplier reliance and matrix leadership.
- Continuous improvement, Six Sigma and/or Lean experience.
Preferred Qualification
- Stakeholder management/influencing; communicate technical topics in business terms.
- Value realization/financial acumen (business cases, KPIs, benefit tracking).
- Data integrity, GxP validation expectations, ISA-95/ISA-88, cybersecurity frameworks; compliant digital delivery.
- Knowledge of Quality, NPI/CMC, and Supply Chain processes and decision/data flows.
- MLOps experience; deploying/governing ML models in regulated environments.
- Experience in primary/secondary manufacturing (small or large molecule facilities).