ERP Data Management Lead
GSK · Zebulon, NC · 1 wk ago
RemoteRemoteConsultingFull-time
About the role
The ERP Data Management Lead is responsible for ensuring the accuracy, integrity, and sustainability of production-critical master and transactional data across ERP-integrated planning and execution systems. This role provides dedicated ownership of data that underpins site scheduling, material flow, execution reliability, and system-driven decision making.
Responsibilities
- ERP Data Ownership & Integrity: Own master and transactional data required to support ERP-integrated planning and execution systems. Ensure data accuracy, completeness, and timeliness across systems. Prevent data drift through structured reconciliation routines.
- Data Governance & Control: Establish and lead a structured data governance cadence (monthly reviews, annual validation cycles, and ad-hoc reviews). Define data standards, ownership models, and change controls. Support audit readiness.
- Operational & Project Support: Provide mass data updates aligned with planning horizon changes, new product introductions, and system changes. Act as a data SME for ERP-enabled initiatives. Partner with Operations, MSAT, Supply Chain, and IT.
- Risk Reduction & Performance Enablement: Reduce operational risk caused by missing or incorrect data. Minimize manual workarounds. Protect system-driven planning and execution outputs. Free MSAT and Operations to focus on production-critical activities.
- Capability Building: Coach data end users, promote standard work, and act as a center of excellence for ERP data best practices.
- Visualization and Reporting: Develop dashboards and reports using Power BI to present data insights and trends to stakeholders.
- Collaboration: Work closely with cross-functional teams, including manufacturing, supply chain, MSAT and IT, to address data-related challenges and ensure seamless integration with OMP systems.
- Quality Assurance: Ensure data integrity and compliance with regulatory standards applicable to pharmaceutical manufacturing.
- Continuous Improvement: Proactively identify opportunities to improve data processes and tools, enhancing overall project efficiency.
Qualifications
- Basic Qualification: HS Diploma plus 7+ years of relevant experience in data analysis, preferably within pharmaceutical manufacturing or a similar regulated industry, OR associate degree plus 5 years of relevant experience in data analysis, preferably within pharmaceutical manufacturing or a similar regulated industry.
- Experience: 5+ years’ experience managing ERP master data, preferably in manufacturing, supply chain, or regulated industries. Experience with at least one ERP system (for example SAP, Oracle, or similar).
- Experience: 2+ years of experience in working in a manufacturing environment with scheduling, data management or manufacturing experience.
Preferred Qualification
- BS Degree with two years of relevant experience in data analysis, preferably within pharmaceutical manufacturing or a similar regulated industry.
- Previous experience with PP or PE modules in SAP.
- Previous experience using an MRP system.
- Experience with pharmaceutical scheduling, manufacturing, or data management.
- Strong interpersonal and leadership skills. Solid team player able to function within team based organizations.
- Advanced Data Analysis: Applies strong Excel skills for complex data analysis, modelling, and reporting. Experience communicating to all levels of the organization - to effectively communicate assignment status, manufacturing or material issues both orally and written.
- Able to work independently with minimal supervision.
- Able to prioritize and decide appropriate courses of actions.
- Strong analytical and critical thinking skills.
- Effective at implementing decisions.
- Power BI experience for data visualization and reporting.
- Proven ability to analyze complex data sets and translate findings into actionable insights.
- Ability to troubleshoot data-related issues and propose innovative solutions to align SAP and OMP systems.
- Experience with Word, PowerPoint, and Visio software.