ERP Data Management Lead

GSK•Zebulon, NC

1d•Hybrid

About The Position

The ERP Data Management Lead is accountable 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. As ERP-enabled planning and execution capabilities expand, data volume and complexity continue to increase. This role ensures data remains reliable, aligned, and fit-for-purpose—protecting operational performance, system outputs, and return on investment from digital transformation initiatives.

Requirements

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.
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).
2+ years of experience in working in a manufacturing environment with scheduling, data management or manufacturing experience.
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
Ability 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.
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

Nice To Haves

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
Power BI experience for data visualization and reporting.

Responsibilities

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.
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.
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.
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.
Coach data end users, promote standard work, and act as a center of excellence for ERP data best practices.
Develop dashboards and reports using Power BI (recommended) to present data insights and trends to stakeholders.
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.
Ensure data integrity and compliance with regulatory standards applicable to pharmaceutical manufacturing.
Proactively identify opportunities to improve data processes and tools, enhancing overall project efficiency.
Other duties/initiatives as assigned.