Smart Manufacturing Execution Lead
GSK
8 hours ago
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. The role supports identified manufacturing sites/functions as prioritized by SM wave delivery and business value impact.
Responsibilities
- Execute the Smart Manufacturing strategy and deliver an outcome-based multi-year roadmap aligned to GSC objectives/governance.
- Lead value identification and prioritization: assess digital maturity, diagnose performance opportunities, quantify benefits, and select projects.
- Deliver end-to-end Industry 4.0 solutions (e.g., 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, and advanced control.
- Build/lead cross-functional delivery matrix teams (Ops, Quality, MSAT, Supply Chain, Engineering, Automation, Digital/Tech) 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.
- Drive stakeholder engagement/adoption and benefits realization via KPIs (productivity, OEE, yield, lead time, deviations, cost of poor quality) and reporting.
- Develop capability/community through training and knowledge transfer; manage external partners/suppliers for compliant, high-quality delivery.
Basic Qualifications
- Bachelor’s (or equivalent) in Science, Engineering, Advanced Technology, Automation, Data Science, AI, or related.
- 6+ years delivering complex, cross-functional transformations in regulated, complex manufacturing.
- Full life-cycle project experience (business case to hyper care/BAU).
- Strong manufacturing ops knowledge (process control, MES/eBR, OT/SCADA/DCS, cloud/edge) across Quality/Engineering/Supply Chain.
- Advanced analytics/data science/AI for manufacturing/supply chain (anomaly detection, predictive monitoring, simulation, optimization, decision support, advanced control).
- Experience leading multi-site/global programs with external partners and matrix leadership.
Preferred Qualifications
- Stakeholder management/influencing; communicate technical topics in business terms.
- Value realization/financial acumen (business cases, KPIs, benefits tracking).
- Data integrity/validation (GxP), ISA-95/ISA-88, cybersecurity frameworks.
- Knowledge of Quality, NPI/CMC, Supply Chain processes and decision/data flows.
- MLOps experience in regulated manufacturing.
- Experience with primary/secondary manufacturing in small/large molecule facilities.
- Excellent communication skills.
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. The role supports identified manufacturing sites/functions as prioritized by SM wave delivery and business value impact.
Responsibilities
- Execute the Smart Manufacturing strategy and deliver an outcome-based multi-year roadmap aligned to GSC objectives/governance.
- Lead value identification and prioritization: assess digital maturity, diagnose performance opportunities, quantify benefits, and select projects.
- Deliver end-to-end Industry 4.0 solutions (e.g., 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, and advanced control.
- Build/lead cross-functional delivery matrix teams (Ops, Quality, MSAT, Supply Chain, Engineering, Automation, Digital/Tech) 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.
- Drive stakeholder engagement/adoption and benefits realization via KPIs (productivity, OEE, yield, lead time, deviations, cost of poor quality) and reporting.
- Develop capability/community through training and knowledge transfer; manage external partners/suppliers for compliant, high-quality delivery.
Basic Qualifications
- Bachelor’s (or equivalent) in Science, Engineering, Advanced Technology, Automation, Data Science, AI, or related.
- 6+ years delivering complex, cross-functional transformations in regulated, complex manufacturing.
- Full life-cycle project experience (business case to hyper care/BAU).
- Strong manufacturing ops knowledge (process control, MES/eBR, OT/SCADA/DCS, cloud/edge) across Quality/Engineering/Supply Chain.
- Advanced analytics/data science/AI for manufacturing/supply chain (anomaly detection, predictive monitoring, simulation, optimization, decision support, advanced control).
- Experience leading multi-site/global programs with external partners and matrix leadership.
Preferred Qualifications
- Stakeholder management/influencing; communicate technical topics in business terms.
- Value realization/financial acumen (business cases, KPIs, benefits tracking).
- Data integrity/validation (GxP), ISA-95/ISA-88, cybersecurity frameworks.
- Knowledge of Quality, NPI/CMC, Supply Chain processes and decision/data flows.
- MLOps experience in regulated manufacturing.
- Experience with primary/secondary manufacturing in small/large molecule facilities.
- Excellent communication skills.