ERP Data Management Lead
GSK
19 days ago
Remote friendly (Zebulon, NC)
United States
IT
Position Summary
The ERP Data Management Lead ensures the accuracy, integrity, and sustainability of production-critical master and transactional data across ERP-integrated planning and execution systems. Own data that underpins site scheduling, material flow, execution reliability, and system-driven decision making.
Responsibilities
- Own master/transactional data; ensure accuracy, completeness, and timeliness; prevent data drift via reconciliation.
- Establish data governance cadence (monthly reviews, annual validation, ad-hoc); define standards, ownership models, and change controls; support audit readiness.
- Perform mass data updates for planning horizon changes, new product introductions, and system changes; act as ERP data SME; partner with Operations, MSAT, Supply Chain, and IT.
- Reduce operational risk from missing/incorrect data; minimize manual workarounds; protect planning/execution outputs.
- Coach data end users; promote standard work; serve as center of excellence for ERP data best practices.
- Build Power BI dashboards/reports to communicate insights and trends.
- Collaborate cross-functionally to resolve data challenges and ensure integration with OMP systems.
- Ensure data integrity and regulatory compliance for pharmaceutical manufacturing.
- Identify continuous improvement opportunities; other duties as assigned.
Qualifications
Required:
- HS Diploma + 7+ years (or Associate degree + 5 years) data analysis in pharmaceutical manufacturing or similar regulated industry.
- 5+ years managing ERP master data (manufacturing/supply chain/regulated).
- Experience with an ERP system (SAP/Oracle or similar).
- 2+ years in manufacturing environment with scheduling, data management, or manufacturing experience.
Preferred:
- BS degree with 2 years data analysis (regulated industry).
- SAP PP/PE module experience; MRP experience.
- Pharmaceutical scheduling/manufacturing/data management experience.
- Advanced Excel; Power BI; strong communication; leadership; independent work.
How to apply
Submit your CV and a short note explaining why you’re interested and what you’d bring to the role.
The ERP Data Management Lead ensures the accuracy, integrity, and sustainability of production-critical master and transactional data across ERP-integrated planning and execution systems. Own data that underpins site scheduling, material flow, execution reliability, and system-driven decision making.
Responsibilities
- Own master/transactional data; ensure accuracy, completeness, and timeliness; prevent data drift via reconciliation.
- Establish data governance cadence (monthly reviews, annual validation, ad-hoc); define standards, ownership models, and change controls; support audit readiness.
- Perform mass data updates for planning horizon changes, new product introductions, and system changes; act as ERP data SME; partner with Operations, MSAT, Supply Chain, and IT.
- Reduce operational risk from missing/incorrect data; minimize manual workarounds; protect planning/execution outputs.
- Coach data end users; promote standard work; serve as center of excellence for ERP data best practices.
- Build Power BI dashboards/reports to communicate insights and trends.
- Collaborate cross-functionally to resolve data challenges and ensure integration with OMP systems.
- Ensure data integrity and regulatory compliance for pharmaceutical manufacturing.
- Identify continuous improvement opportunities; other duties as assigned.
Qualifications
Required:
- HS Diploma + 7+ years (or Associate degree + 5 years) data analysis in pharmaceutical manufacturing or similar regulated industry.
- 5+ years managing ERP master data (manufacturing/supply chain/regulated).
- Experience with an ERP system (SAP/Oracle or similar).
- 2+ years in manufacturing environment with scheduling, data management, or manufacturing experience.
Preferred:
- BS degree with 2 years data analysis (regulated industry).
- SAP PP/PE module experience; MRP experience.
- Pharmaceutical scheduling/manufacturing/data management experience.
- Advanced Excel; Power BI; strong communication; leadership; independent work.
How to apply
Submit your CV and a short note explaining why you’re interested and what you’d bring to the role.