Global Master Data Analyst

GE Vernova•Greenville, SC

1d•$81,700 - $136,700•Onsite

About The Position

We are seeking a Master Data Analyst to support data governance and master data quality across critical business domains in the energy sector. This role plays a key part in ensuring the accuracy, consistency, and reliability of master data that supports operational excellence, compliance, and informed decision-making. 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.

Requirements

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

Nice To Haves

Experience supporting master data for assets, materials, equipment, locations, suppliers, or customers
Knowledge of data governance, data stewardship, and data quality practices
Familiarity with SQL and reporting tools such as Power BI or Tableau
Experience with SAP, Oracle, Maximo, or similar enterprise platforms
Understanding of energy industry operations, maintenance processes, supply chain, or asset management
Exposure to regulatory, audit, or compliance-driven environments
Familiarity with PFEP methodology and its application to MRP, capacity planning, and shop floor execution.
Experience with digital integration standards across manufacturing systems (MES, PLM, APS) and the data mapping requirements to enable reliable interfaces.
Background in lean manufacturing and standard work deployment, with an understanding of how data quality drives operational performance.
Experience building and enabling site-level data stewardship networks (equivalent to LPDA model) across distributed manufacturing environments.
Comfortable operating in a dual-ERP environment and translating standards across system boundaries.
Analytics prototyping experience using tools such as Power BI, Tableau, or similar; ability to move from concept to working prototype quickly.

Responsibilities

Manage, analyze, validate, and maintain master data within assigned business domains
Support master data governance processes, standards, and data quality controls
Identify and resolve data issues such as duplicates, inconsistencies, missing attributes, and formatting errors
Support Deployment of 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 applicable regulatory expectations
Contribute to continuous improvement initiatives to strengthen enterprise data quality and process efficiency
Partner with Process Engineers to ensure process standards and master data templates evolve together; develop and maintain global training materials and documentation for both global and local users.
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 read-across of lessons learned, including cross-functional alignment with Engineering/Configuration Management on digital thread policy changes impacting PLM–ERP integration.
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) proving concepts at small scale before handoff to IT/DT for industrialization.
Define and own the prototype-to-scale handoff protocol: documentation standards, data requirements, and acceptance criteria that IT/DT teams need to industrialize a DPE-incubated tool.

Benefits

medical, dental, vision, and prescription drug coverage
access to Health Coach from GE Vernova, a 24/7 nurse-based resource
access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants
tuition assistance
adoption assistance
paid parental leave
disability benefits
life insurance
12 paid holidays
permissive time off