
Project Manager – World Class Manufacturing (WCM) (H/F)
Charleroi, PAJob$114–190K/yrSeen 6 days agoSeen in employer's feed 6 days ago
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At a glance
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Job overview
The WCM Project Manager designs quantitative simulations and leads digitalization and automation initiatives for industrial capital projects. The role uses scenario analysis to assess risks and operational outcomes, translates complex data into recommendations for leadership, and supports lean transformation and continuous improvement. The posting seeks 3–6 years of experience in manufacturing operations, supply chain, or operations excellence, along with simulation, statistical analysis, and industrial digitalization knowledge.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Job Description Summary
En tant que Project Manager – World Class Manufacturing (WCM), vous occupez un rôle clé au carrefour de la stratégie et de l'opérationnel. Vous concevez des modèles quantitatifs pour éclairer nos décisions stratégiques et pilotez la transformation digitale de nos projets industriels. Vous êtes le trait d’union entre la simulation de données complexes et la réalité du terrain, garantissant que nos usines de demain atteignent l’excellence opérationnelle dès leur mise en service.
Job Description
***** IN ENGLISH BELOW *****
Vos missions
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Modélisation et simulation : Vous concevez des simulations haute fidélité pour modéliser nos environnements de fabrication complexes (chaînes d'approvisionnement, flux opérationnels, architecture de la ligne de fabrication, fonctionnement des machines et manutention entre machines, fluctuations de la demande et mélange de produits, pannes de l’équipement, etc) basées sur la réalité du terrain.
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Transformation digitale : Vous pilotez le déploiement des initiatives « Digitalisation & Automatisation » pour nos projets d'investissement, en intégrant les infrastructures réseau, la connectivité des équipements dans l’atelier et la collecte de données machines et leur exploitation dans un environnement qui tire parti de l’ intelligence artificielle, et des initiatives d’automatisation et la robotique, tout en respectant les standards établis par l’initiative GEV World Class Manufacturing (WCM).
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Analyse de scénarios : Vous utilisez vos modèles pour tester la robustesse de nos projets, quantifier les risques et mesurer l'impact de variables critiques (contraintes de ressources, OEE – efficacité globale des équipements, fluctuations économiques).
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Aide à la décision : Vous traduisez des données techniques complexes en recommandations claires et objectives pour nos dirigeants, facilitant l’allocation des investissements et les choix d'amélioration continue.
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Excellence opérationnelle : Vous accompagnez nos feuilles de route Lean en validant les scénarios de capacité et de processus avant chaque investissement, assurant la conformité avec nos objectifs de production (Manufacturing Target Conditions).
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Amélioration continue : Vous soutenez nos projets Kaizen par des analyses de modélisation « what-if » pour optimiser l'efficacité.
Votre profil Vous êtes une personne curieuse et orientée vers la résolution de problèmes complexes, capable de traduire des données techniques en stratégies opérationnelles concrètes.
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Diplôme : Baccalauréat (ou équivalent) en ingénierie, opérations, génie industriel ou domaine connexe.
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Expérience : Vous disposez d'une expérience significative (3 à 6 ans) dans les opérations industrielles, la supply chain ou l'excellence opérationnelle.
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Expertise Lean & Digital : Vous maîtrisez les principes du Lean (VSM, takt time, équilibrage de ligne) et possédez une connaissance des outils de digitalisation et d'automatisation industrielle.
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Compétences techniques : Vous avez une expérience pratique des outils de simulation (ex. : AnyLogic, FlexSim, Arena, Simio) et des méthodes statistiques (ANOVA, régressions, tests t).
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Communication : Vous avez une capacité démontrée à expliquer des résultats complexes à des parties prenantes non techniques.
Le diplôme en ingénierie est un atout, mais nous sommes avant tout intéressés par votre expérience professionnelle et vos réalisations.
Pourquoi nous rejoindre ? GE Vernova relève le défi de construire un monde qui fonctionne. Pour accomplir cette mission, nous offrons une rémunération compétitive, des programmes favorisant votre bien-être et votre équilibre vie pro/vie perso, ainsi que des opportunités concrètes de développement de carrière.
***** English Version *****
Your Impact As a WCM Project Manager (Simulation & Digital), you serve at the intersection of strategy and operations. You design quantitative models to forecast business outcomes and lead the digital transformation of our industrial projects. You are the bridge between complex data simulation and real-world execution, ensuring our future factories meet operational excellence standards from day one.
Your Responsibilities
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Simulation & Modeling: Design high-fidelity simulations for complex environments (supply chains, workflows, demand shifts) grounded in a detailed understanding of current-state operations.
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Digitalization & Automation: Lead the implementation of the D&A workstream for capital projects. Drive the integration of network infrastructure, factory applications, and robotics in alignment with WCM standards.
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Scenario Analysis: Use models to stress-test initiatives, quantify risk, and project the impact of variables like resource constraints, OEE drift, or economic shifts.
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Strategic Insights: Convert stochastic simulation outputs into objective, decision-ready recommendations for leadership to inform capital allocation and lean decisions.
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Lean Transformation: Support the lean roadmap by validating process and capacity scenarios ahead of investment decisions, ensuring builds meet Manufacturing Target Conditions.
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Continuous Improvement: Support Kaizens and improvement projects with scenario modeling and efficiency recommendations.
Your Profile You are a builder at heart, energized by the opportunity to create new modeling approaches and solve complex problems.
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Education: Bachelor’s degree in Engineering, Operations, Industrial Engineering, or related field.
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Experience: 3-6 years of experience in manufacturing operations, supply chain, or operations excellence.
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Lean Proficiency: Working knowledge of lean manufacturing principles (VSM, takt time, line balancing, standard work).
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Simulation Tools: Hands-on experience with DES or process simulation tools (e.g., AnyLogic, FlexSim, Arena, Simio).
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Digital Proficiency: Working knowledge of industrial digitalization, automation, and robotics.
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Data Analysis: Experience with statistical analysis such as t-testing, ANOVA, and regression.
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Communication: Demonstrated ability to translate operational data into clear business recommendations.
A formal degree in Engineering is nice to have, but we are most interested in your total experience and professional achievements.
Benefits Available to You GE Vernova employees rise to the challenge of building a world that works. To meet this mission, we provide varied, competitive benefits to help support our workforce—including compensation designed to reward high performers, wellness programs to support your work-life balance, and clear paths for continuous on-the-job learning.
For candidates applying to a U.S. based position, the pay range for this position is between $114,100 and $190,200. 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 October 28th, 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.
Additional Information
Relocation Assistance Provided: No
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.
How this job compares
Set against the 23,019 open Project Manager jobs on Olive Jobs, counted November 5, 2026.
- Pay
- This posting$114–190K/yr
- Pennsylvania median$105–175K/yr401 salary ranges
- US median$108–174K/yr14,478 salary ranges
This range's midpoint, $152K, is 9% above the Pennsylvania median midpoint ($140K) — in the middle half of Project Manager salary ranges in Pennsylvania.
- Openings
- Olive Jobs lists 809 open Project Manager jobs in Pennsylvania and 23,019 across the US. 4% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 3 years of experience — less than three in four Project Manager postings that state a minimum ask for (median 6 years, across 19,775 postings).
- Education
- 12,123 of the 23,019 open Project Manager jobs (53%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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