Global Master Data Governance Manager

GE Vernova • Greenville, SC

1d • $144,000 - $240,000

About The Position

Lead the global Master Data Governance and Analytics functions for GE Vernova Gas Power Global Supply Chain. Define and enforce master data standards across ERPs (SAP/Oracle), MES, and PLM; establish the global PFEP framework; and own the MDM mapping layer that enables integration across all digital applications and manufacturing and engineering systems. As the Global Process Digital Authority (GPDA) for master data, set the standards that Local Process Digital Authorities (LPDAs) implement and enforce at each site. Lead the analytics rationalization and incubation function, partnering with IT/DT to consolidate existing reporting tools and prototype new analytics capabilities for frontline teams. This role defines the data foundation that enables every digital initiative to execute at scale.

Requirements

• 7+ years in supply chain, manufacturing operations, or engineering-facing master data governance roles.
• 5+ years of experience with master data management across SAP and/or Oracle in a multi-site industrial environment, including material master, planning parameters, and warehouse management fields.
• 5+ years of experience managing or developing analytics tools and dashboards in a manufacturing or supply chain context; ability to translate frontline data needs into actionable reporting solutions.
• Demonstrated ability to lead cross-functional data or process standardization programs with measurable outcomes.
• Strong influencing skills with both technical teams (IT/DT, data engineering) and operational stakeholders (site leaders, planners, LPDA network).

Nice To Haves

• 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.
• Strong change leadership: ability to drive adoption of data standards across sites with varying levels of digital maturity.
• Analytics prototyping experience using tools such as Power BI, Tableau, or similar; ability to move from concept to working prototype quickly.
• Familiarity with PLM platforms and configuration management best practices (part identification, effectivity, change control, BOM governance, and digital thread concepts).
• Knowledge of data quality management standards and roles (e.g., ISO 8000-150 or equivalent), including data ownership, stewardship, and governance.

Responsibilities

• Master Data Governance & Standards: Define and maintain global master data standards, templates, and data dictionaries across systems, covering master data required for end-to-end supply chain.
• Establish a global-to-local template model: global fields and definitions are non-negotiable; site-specific extensions are permitted with GPDA approval; any exception affecting integration mapping requires sign-off before go-live.
• Own the global Plan for Every Part (PFEP) framework and template, defining the standard parameters for every part at every site to enable reliable MRP execution, capacity planning, and system integration.
• Partner with PLM Principal Engineers, to define and maintain the enterprise PLM–ERP data strategy and digital thread policies for part and material master data, establishing clear system-of-record boundaries across PLM and ERP platforms and supporting multiple platforms and parts mastering approaches by product line and go-to-market strategy.
• 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.
• Approve any changes to master data definitions used in standards, reporting, or cross-system integrations; maintain a formal change log and impact assessment process.
• 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.
• GPDA Authority & LDPA Network: Serve as the Global Process Digital Authority (GPDA) for master data: set the standards that Local Process Digital Authorities (LPDAs) implement and enforce at each site through workflows, SOPs, and local training.
• Own the LDPA 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.
• Exercise authority to pause scaling of any digital initiative where foundational master data is not stable or complete enough to support reliable execution; define and communicate the criteria for readiness.
• Integration Data Standards: Own the master data mapping layer that all digital applications (MES, PLM, analytics tools, and others) must conform to before deployment; define and publish the global MDM mapping standards.
• Partner with Tech Intro and Process Engineering to enforce MDM mapping alignment as a formal checkpoint in the SCALE model at the CONFIRM tollgate before any initiative advances to ARCHITECT.
• Partner with ERP solution design and architecture teams to validate master data structures, field definitions, coding standards, and governance workflows during ERP design phases.
• Own master data validation checkpoints across program milestones (build, SIT, UAT, cutover), preventing go-live where data integrity risks remain unresolved.
• Maintain a living MDM mapping registry that documents field-level definitions, cross-system equivalencies (SAP/Oracle), and approved local variations; flag and resolve conflicts before they reach production.
• Provide governance, advisement, and functional signoff for data migration and conversion between PLM and ERP platforms, including mapping, validation, and defect triage standard work.
• Analytics Rationalization & Incubation: Lead a Supply Chain-wide inventory of analytics and shop-floor reporting tools (MES, QMS, local shop tools, dashboards); define the rationalization roadmap and align with IT/DT before execution.
• 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.
• Maintain a prioritized incubation backlog aligned to frontline value and DPE strategic priorities, in partnership with POD leaders and the Tech Intro function.

Benefits

• GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation.
• Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services.
• Retirement benefits include the 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.
• Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed