Smart Manufacturing Execution Lead
GSK
July 02, 2026
Remote friendly (Collegeville, PA)
United States
Operations
Position Summary
The Smart Manufacturing Execution Lead is 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 Smart Manufacturing strategy; translate vision into an outcome-based multi-year roadmap aligned to GSC objectives.
- Lead value identification/prioritization at key sites (digital maturity assessment, performance diagnosis, 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, PAT, advanced analytics, lab automation, model predictive control, AI).
- Accelerate “data to value” via improved data availability, contextualization, and consumption for decisions, monitoring, optimization, and control.
- Build and lead cross-functional delivery teams to design, pilot, scale, and embed standard ways of working.
- Define/maintain global standards and playbooks (solution design, validation, data integrity, cybersecurity, supplier delivery) aligned to stage gate expectations.
- Own stakeholder engagement to remove barriers and drive adoption.
- Ensure benefits realization with KPIs and reporting (productivity, OEE, yield, lead time, deviations, COPQ).
- Develop capability (training/coaching/knowledge transfer).
- Manage external partners/suppliers for on-time, in-scope outcomes.
Basic Qualifications
- Bachelor’s degree (or equivalent) in Science, Engineering, Advanced Technology, Automation, Data Science, AI, or related.
- 6+ years hands-on delivery of complex cross-functional transformation in regulated manufacturing.
- Full lifecycle projects (business case to hyper care/BAU).
- Strong manufacturing operational knowledge (manufacturing ops, process control, MES/eBR, OT/SCADA/DCS, cloud/edge).
- Advanced analytics/data science/AI in manufacturing/supply chain (anomaly detection, predictive monitoring, simulation, optimization, decision support, advanced control).
- Experience leading global/multi-site programs with supplier reliance and matrix leadership.
- Continuous improvement experience (Six Sigma and/or Lean).
Preferred Qualifications
- Stakeholder management/influencing; communicate technical topics in business terms.
- Financial acumen/value realization; build business cases and track benefits to outcomes.
- Data integrity/validation (GxP), ISA-95/ISA-88, cybersecurity frameworks.
- Knowledge of Quality, NPI/CMC, Supply Chain processes and data/decision flows.
- Familiarity with MLOps for regulated deployments.
- Experience with primary and secondary manufacturing (small/large molecule facilities).
- Excellent communication skills.
The Smart Manufacturing Execution Lead is 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 Smart Manufacturing strategy; translate vision into an outcome-based multi-year roadmap aligned to GSC objectives.
- Lead value identification/prioritization at key sites (digital maturity assessment, performance diagnosis, 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, PAT, advanced analytics, lab automation, model predictive control, AI).
- Accelerate “data to value” via improved data availability, contextualization, and consumption for decisions, monitoring, optimization, and control.
- Build and lead cross-functional delivery teams to design, pilot, scale, and embed standard ways of working.
- Define/maintain global standards and playbooks (solution design, validation, data integrity, cybersecurity, supplier delivery) aligned to stage gate expectations.
- Own stakeholder engagement to remove barriers and drive adoption.
- Ensure benefits realization with KPIs and reporting (productivity, OEE, yield, lead time, deviations, COPQ).
- Develop capability (training/coaching/knowledge transfer).
- Manage external partners/suppliers for on-time, in-scope outcomes.
Basic Qualifications
- Bachelor’s degree (or equivalent) in Science, Engineering, Advanced Technology, Automation, Data Science, AI, or related.
- 6+ years hands-on delivery of complex cross-functional transformation in regulated manufacturing.
- Full lifecycle projects (business case to hyper care/BAU).
- Strong manufacturing operational knowledge (manufacturing ops, process control, MES/eBR, OT/SCADA/DCS, cloud/edge).
- Advanced analytics/data science/AI in manufacturing/supply chain (anomaly detection, predictive monitoring, simulation, optimization, decision support, advanced control).
- Experience leading global/multi-site programs with supplier reliance and matrix leadership.
- Continuous improvement experience (Six Sigma and/or Lean).
Preferred Qualifications
- Stakeholder management/influencing; communicate technical topics in business terms.
- Financial acumen/value realization; build business cases and track benefits to outcomes.
- Data integrity/validation (GxP), ISA-95/ISA-88, cybersecurity frameworks.
- Knowledge of Quality, NPI/CMC, Supply Chain processes and data/decision flows.
- Familiarity with MLOps for regulated deployments.
- Experience with primary and secondary manufacturing (small/large molecule facilities).
- Excellent communication skills.