Principal Manufacturing Systems Analyst
GSK (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Own detailed analysis and documentation of manufacturing systems data flows and interfaces across ISA-95 Levels 2, 3, and 5, ensuring data completeness, context, and usability for manufacturing, quality, and R&D stakeholders.
- Lead investigations and risk assessments for manufacturing systems and data issues impacting batch execution, product quality, and compliance while coordinating cross-functional teams through design, testing, deployment, and stabilization phases.
- Develop and maintain reusable manufacturing data definitions, mappings, models, and documentation to standardize and improve manufacturing data integration and usage across sites and products.
Minimum Requirements
- Bachelor's or Master's degree in Engineering, Computer Science, IT, Automation, Data, Life Sciences, or relevant technical discipline.
- Minimum 5+ years experience as a manufacturing systems analyst, MES/LIMS analyst, or manufacturing-data SME in regulated manufacturing or laboratory environments.
- Experience analyzing and defining manufacturing data requirements, mappings, and integrations across ISA-95 manufacturing systems and enterprise/cloud platforms.
- Experience performing risk assessments and supporting GxP compliance, data integrity, validation, and audit activities related to manufacturing systems and data.
Ideal Candidate Profile
- Proven expertise bridging manufacturing/process operations and technical teams, with strong experience translating complex manufacturing/scientific data needs into system requirements and scalable data products.
- Skilled in leading cross-functional, multi-site projects involving manufacturing, quality, laboratory, and IT engineering teams through discovery, testing, deployment, and issue resolution.
- Experienced in regulated manufacturing/laboratory contexts with deep understanding of data lineage, semantic interoperability, and industrial protocol interfaces (e.g., OPC UA, MQTT).