Smart Manufacturing Execution Lead
GSK
9 hours ago
Remote friendly (King of Prussia, 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 and translate it into an outcome-based multi-year roadmap aligned to GSC objectives/governance.
- Lead value identification and 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” by improving data availability, contextualization, and consumption for decision-making/monitoring/optimization/control.
- Build and lead cross-functional delivery matrix teams (Ops, Quality, MSAT, Supply Chain, Engineering, Automation, Digital/Tech) to design, pilot, scale, and embed solutions.
- Define/maintain global standards and playbooks for solution design, validation, data integrity, cybersecurity, and supplier delivery.
- Own stakeholder engagement/influence and drive adoption.
- Ensure benefits realization via KPIs and governance reporting (e.g., productivity, OEE, yield, lead time, deviations, cost of poor quality).
- Develop capability/community through training, coaching, and knowledge transfer.
- Manage external partners/suppliers for on-time, in-scope, interoperable outcomes.
Basic Qualifications
- 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/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) and cross-functional collaboration.
- Advanced analytics/data science/AI experience (anomaly detection, predictive monitoring, simulation, optimization, decision support, advanced control).
- Experience leading multi-site/global programs with external suppliers; matrix leadership.
- Continuous improvement, Six Sigma and/or Lean experience.
Preferred Qualifications
- Strong stakeholder management; 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; compliant digital delivery.
- Knowledge of Quality, NPI/CMC, Supply Chain processes and data/decision flows.
- MLOps experience for regulated manufacturing ML governance.
- Experience with primary/secondary manufacturing (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.
Responsibilities
- Execute the Smart Manufacturing strategy and translate it into an outcome-based multi-year roadmap aligned to GSC objectives/governance.
- Lead value identification and 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” by improving data availability, contextualization, and consumption for decision-making/monitoring/optimization/control.
- Build and lead cross-functional delivery matrix teams (Ops, Quality, MSAT, Supply Chain, Engineering, Automation, Digital/Tech) to design, pilot, scale, and embed solutions.
- Define/maintain global standards and playbooks for solution design, validation, data integrity, cybersecurity, and supplier delivery.
- Own stakeholder engagement/influence and drive adoption.
- Ensure benefits realization via KPIs and governance reporting (e.g., productivity, OEE, yield, lead time, deviations, cost of poor quality).
- Develop capability/community through training, coaching, and knowledge transfer.
- Manage external partners/suppliers for on-time, in-scope, interoperable outcomes.
Basic Qualifications
- 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/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) and cross-functional collaboration.
- Advanced analytics/data science/AI experience (anomaly detection, predictive monitoring, simulation, optimization, decision support, advanced control).
- Experience leading multi-site/global programs with external suppliers; matrix leadership.
- Continuous improvement, Six Sigma and/or Lean experience.
Preferred Qualifications
- Strong stakeholder management; 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; compliant digital delivery.
- Knowledge of Quality, NPI/CMC, Supply Chain processes and data/decision flows.
- MLOps experience for regulated manufacturing ML governance.
- Experience with primary/secondary manufacturing (small/large molecule facilities).
- Excellent communication skills.