Global Master Data Analyst H​/F

Job Description Summary

Are you an operations-focused professional who understands how clean data drives shop‑floor efficiency and asset reliability? We are seeking an Operations Data Lead to bridge the gap between our manufacturing sites and our enterprise systems. This is not a back‑office IT role; you will work directly with our engineering and production teams to ensure that the digital thread—from PLM to ERP to the shop floor—is accurate, actionable, and optimized for real‑world operations.

Monitor and enforce master data standards across ERPs (SAP/Oracle), MES, and PLM; implement the global PFEP framework; and leverage the MDM mapping layer that enables integration across all digital applications and manufacturing and engineering systems. Collaborate with Local Process Digital Authorities (LPDAs) to implement and enforce MDM standards at each site.

Master Data Governance & Standards:
Manage, analyze, validate, and maintain master data within defined business domains; support governance processes, standards, and data‑quality controls; identify and resolve data issues such as duplicates, inconsistencies, missing attributes, and formatting errors; deploy AI‑assisted tools for routine data quality monitoring, anomaly detection, duplicate detection, attribute standardization, classification harmonization, and obsolete material management; establish automated audit cycles that continuously assess completeness and accuracy against global standards;

monitor data‑quality KPIs and prepare reports for governance and business stakeholders; support data creation, change, approval, and retirement workflows; collaborate with ERP, EAM, MDM, and other enterprise system teams to ensure data consistency across platforms; document master data definitions, business rules, workflows, and governance procedures; support data migration, system implementation, and integration projects; ensure compliance with internal governance standards, audit requirements, and regulatory expectations;

contribute to continuous‑improvement initiatives to strengthen enterprise data quality and process efficiency; partner with process engineers to evolve process standards and master data templates together; develop and maintain global training materials and documentation for users.

GPDA Authority & LDPA Network:
Work closely with LPDAs, data stewards, and system owners to resolve data defects and improve processes; drive the LDPAs governance rhythm—regular cadence for standards updates, compliance reviews, issue escalation, and cross‑site lessons learned; align with engineering/engineering‑configuration management on digital thread policy changes impacting PLM‑ERP integration.

Analytics Rationalization & Incubation:
Establish global reporting standards and data definitions to ensure consistent interpretation of metrics and KPIs across all sites and functions; build and validate analytics prototypes with frontline teams (including AI‑powered data quality and operational analytics tools); prove concepts at small scale before handoff to IT/DT for industrialisation; define and own prototype‑to‑scale handoff protocol—documentation standards, data requirements, and acceptance criteria required by IT/DT teams.

• Bachelor’s degree in Information Systems, Business Administration, Engineering, Data Management, Computer Science, or a related field.
• 2–5 years of experience in master data, data analysis, data governance, or a related role.
• Experience in energy, utilities, oil and gas, power generation, renewables, manufacturing, or industrial environment preferred.
• Familiarity with enterprise systems such as ERP, EAM, MDM, CRM, or supply‑chain platforms specifically Oracle or SAP.
• Strong proficiency in Microsoft Excel and data analysis/reporting tools.
• Experience with data validation, cleansing, and reconciliation.
• Ability to interpret business and technical data requirements.
• Strong problem‑solving, organizational, and communication skills.
• Ability to work across multiple stakeholders and prioritize competing demands.

• Same academic and experiential requirements as…