ERP Data Management Lead

GSK; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

GSK is seeking an ERP Data Management Lead to ensure accuracy and sustainability of production-critical data across ERP systems. You will own master data, govern data standards, and support data-driven decision making for site scheduling and material flow.

As data volumes grow with digital transformation, you will protect system outputs and enable operational performance, partnering with Operations, MSAT, Supply Chain, and IT. This role offers leadership and a path to advanced data capabilities.

Qualifications

• 7+ years in data analysis in pharma/manufacturing or regulated industries.
• 5+ years managing ERP master data in manufacturing or related sectors.
• Experience with SAP, Oracle, or similar ERP systems.

Responsibilities

• Own master and transactional ERP data for planning and execution.
• Establish data governance cadence and change controls.
• Provide mass data updates aligned with planning horizon changes.
• Develop dashboards and reports using Power BI.
• Collaborate with Operations, MSAT, Supply Chain, and IT to ensure data integrity.

Skills

Data analysis

ERP data ownership

Data governance

Cross-functional collaboration

Leadership skills

Education

Bachelor's degree

HS Diploma or Associate degree

Tools

SAP

Oracle

Power BI

MRP systems

Job description

Business Introduction

We manufacture and supply reliable, high-quality medicines and vaccines to meet patients' needs and drive our performance.
Our network of 37 medicines and vaccines manufacturing sites delivered 1.7 billion packs of medicines and 409 million vaccine doses in 2024 to help make a positive impact on the health of millions of people. Our supply chain is not just core to our operations; it's vital to bringing our innovations to patients as quickly, efficiently and effectively as possible. Technology is transforming how we manufacture medicines and vaccines, enabling us to increase the speed, quality and scale of product supply.
We need the very best minds and capability to help us on our journey to make more complex products, harnessing the power of smart manufacturing technologies including robotics, digital solutions and artificial intelligence to deliver for patients.

Position Summary

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.

This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:

• 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 (recommended) 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.

Other duties/initiatives as assigned.

Why You?

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.


• 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.

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