Process & Data Integration Specialist 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.

Job Description

Master Data Governance & Standards

• 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.

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 read-across of lessons learned, including cross-functional alignment with 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) 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.

Required Qualifications: US candidates

• 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

For NON US candidates:

Required Qualifications

• Bachelor's degree in Information Systems, Business Administration, Engineering, Data Management, Computer Science, or a related field
• Strong 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

Desired Characteristics

• 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.

R5043055 Analyste de donnes matres Monde H/F (Global Master Data Analyst M/F)

Descriptif/Rsum du poste

Nous recherchons un(e) Analyste de donnes matres pour contribuer la gouvernance des donnes et veiller la qualit des donnes matres dans les segments d'activit majeurs du secteur de l'nergie. Le/La titulaire de ce poste joue un rle essentiel en veillant l'exactitude, la cohrence et la fiabilit des donnes matres dont dpendent l'excellence oprationnelle, la conformit et la prise de dcision claire.

Il/Elle a pour mission d'imposer et de contrler l'utilisation des normes relatives aux donnes matres dans les ERP (SAP/Oracle), le MES et le PLM, de mettre en ?uvre le cadre PFEP mondial, et de tirer parti de la couche de mappage MDM qui permet d'intgrer ces donnes dans l'ensemble des applications numriques et des systmes de production et d'ingnierie. Il/Elle doit collaborer avec les autorits locales de gestion des processus numriques (LPDA) pour mettre en ?uvre et appliquer les normes MDM sur chaque site.

Gouvernance des donnes matres et normes associes

• Grer, analyser, valider et actualiser les donnes matres dans les segments d'activit qui lui sont assigns
• Contribuer aux processus de gouvernance des donnes matres, la gestion des normes et aux contrles de la qualit des donnes
• Identifier et rsoudre les problmes de donnes tels que les doublons, les incohrences, les attributs manquants et les erreurs de formatage
• Participer au dploiement d'outils IA pour la surveillance de routine de la qualit des donnes, la dtection des anomalies, la dtection des doublons, la normalisation des attributs, l'harmonisation de la classification et la gestion du matriel obsolte ; tablir des cycles d'audit automatiss qui valuent en permanence l'exhaustivit et l'exactitude des donnes par rapport aux normes mondiales
• Suivre les indicateurs cls de performance (KPI) de la qualit des donnes et prparer des rapports pour la gouvernance et les parties prenantes
• Prendre part aux programmes de cration, de modification, de validation et de suppression des donnes
• Collaborer avec les quipes ERP, EAM, MDM et d'autres quipes responsables des systmes d'entreprise pour veiller la cohrence des donnes sur toutes les plateformes
• Documenter les dfinitions des donnes matres, les rgles oprationnelles, les flux de travail et les procdures de gouvernance
• Participer aux projets de migration de donnes, d'implmentation des systmes et d'intgration
• Veiller au respect des normes de gouvernance interne, des exigences d'audit et des attentes rglementaires applicables
• Contribuer aux initiatives d'amlioration continue pour renforcer la qualit des donnes d'entreprise et l'efficacit des processus
• Collaborer avec les ingnieurs des procds pour s'assurer que les normes de procds et les modles de donnes matres voluent ensemble ; laborer et tenir jour les supports et la documentation de formation pour les utilisateurs internationaux et locaux

Autorit GPDA et rseau LDPA

• Travailler en troite collaboration avec les LPDA, les gestionnaires de donnes et les responsables des systmes pour rsoudre les dfauts de donnes et amliorer les processus
• Grer la dynamique de gouvernance des LDPA : frquence des mises jour des normes, des examens de conformit, de la remonte des problmes et de la diffusion parmi tous les sites des enseignements tirs des erreurs commises ; veiller l'alignement interfonctionnel avec l'quipe Engineering/Gestion des configurations concernant les changements de politique en matire de fil numrique ayant un impact sur l'intgration PLM-ERP

Rationalisation des analyses et incubation

• tablir des normes de reporting et des dfinitions de donnes mondiales pour garantir une interprtation cohrente des indicateurs et des KPI sur tous les sites et dans tous les services
• Crer et valider des prototypes d'analyse avec les quipes de premire ligne (y compris des outils d'analyse oprationnelle et de qualit des donnes bass sur l'IA) pour tester des concepts petite chelle avant de les transfrer aux quipes IT/DT pour l'industrialisation
• Dfinir et grer le protocole de transfert de prototype l'chelle : normes de documentation, exigences en matire de donnes et critres d'acceptation dont les quipes IT/DT ont besoin pour industrialiser un outil cr par DPE

Qualifications requises

• BAC+3 en systmes d'information, gestion d'entreprise, ingnierie, gestion des donnes, informatique ou dans un domaine connexe
• 2 5 ans d'exprience dans le domaine des donnes matres, de l'analyse de donnes, de la gouvernance des donnes ou un poste connexe
• Exprience dans le secteur de l'nergie, des services publics, du ptrole et du gaz, de la production d'lectricit, des nergies renouvelables, de la production ou dans un environnement industriel, de prfrence
• Connaissance des systmes d'entreprise du type ERP, EAM, MDM, CRM, ou des plateformes de chane d'approvisionnement, en particulier Oracle ou SAP
• Matrise de Microsoft Excel et des outils d'analyse de donnes ou de reporting
• Exprience de la validation, du nettoyage et du rapprochement de donnes
• Capacit interprter les exigences relatives aux donnes oprationnelles et techniques
• Capacit rsoudre des problmes et solides comptences en matire d'organisation et de communication
• Capacit travailler avec plusieurs parties prenantes et hirarchiser les demandes concurrentes

Qualifications souhaites

• Exprience de la production de donnes matres pour les actifs, le matriel, les quipements, les sites, les fournisseurs ou les clients
• Connaissance des processus de gouvernance des donnes, de gestion des donnes et de qualit des donnes
• Connaissance de SQL et des outils de reporting tels que Power BI ou Tableau
• Exprience pralable avec SAP, Oracle, Maximo ou des plateformes d'entreprise similaires
• Comprhension des oprations du secteur de l'nergie, des processus de maintenance, de la chane d'approvisionnement ou de la gestion des actifs
• Exprience des environnements rglementaires, d'audit ou de conformit
• Connaissance de la mthodologie PFEP et de son application au MRP, la planification des capacits et l'excution en atelier
• Exprience des normes d'intgration numrique dans les systmes de production (MES, PLM, APS) et des exigences relatives au mappage de donnes qui permettent de disposer d'interfaces fiables
• Exprience du Lean Manufacturing et du dploiement des standards de travail ; comprhension du lien direct entre qualit des donnes et performance oprationnelle
• Exprience de la cration et de la mise en place de rseaux de gestion des donnes au niveau du site (quivalents au modle LPDA) dans des environnements de production distribus
• Capacit travailler dans un environnement double ERP et diffuser les normes malgr les diffrences entre les systmes
• Exprience du prototypage analytique l'aide d'outils tels que Power BI, Tableau ou autre ; capacit passer rapidement du concept au prototype fonctionnel

Additional Information

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: No

For candidates applying to a U.S. based position, the pay range for this position is between $81,700.00 and $136,700.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.

Bonus eligibility: discretionary annual bonus.

This posting is expected to remain open for at least seven days after it was posted on June 12, 2026.

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.

GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.