Supply Chain Master Data Project Manager
Company Description:Veolia Group is a global leader in environmental services, operating across all five continents with nearly 218,000 employees. Specializing in water, energy, and waste management, Veolia Group designs and implements innovative solutions for decarbonization, depollution, and resource regeneration, supporting communities and industries in their ecological transformation.Within this framework, Veolia's Water Technology Business brings together a dedicated team of experienced professionals committed to tackling the world’s most complex challenges related to water scarcity, quality, productivity, and energy. Together, we pursue a shared mission to create a more sustainable future.Job Description:Supply Chain Master Data Project Manager
Europe - remote /hybrid depending on the specific country's rules.
Please apply with English version of your CV for screening purposes.
As Supply Chain Master Data Project Manager within the Global Supply Chain (GSC) Continuous Improvement team, you will own and drive the master data agenda for supply chain operations across all Veolia Water Tech regions and business lines.
Your primary mission is to define data standards, execute data cleansing efforts, establish governance frameworks, and implement sustainable control mechanisms for supply chain master data — covering material master, planning data, BOMs, routings, logistics, and asset data across our SAP and Oracle JDE environments.
Where data quality issues are rooted in upstream process gaps, you will identify, design, and improve the underlying supply chain processes to ensure data standards are created, maintained, and sustained correctly at source.
This role is directly tied to the success of strategic digital initiatives including advanced planning tools, an MDM platform, and a unified data platform. Clean, standardized, and governed master data is the foundation these programs depend on — making this role both urgent and strategically critical.
You will operate in a global matrix environment, leading by influence and building consensus across plant teams, regional leaders, DB&T, and the Data Governance organization to deliver results.
This is a senior position and our candidate will need a solid and ongoing history in this field.Roles & ResponsibilitiesProject Management & ExecutionDevelop and maintain detailed project plans Manage risks, issues, dependencies, and budgets Facilitate governance reviews and steering committee meetingsManage broader digital and supply chain transformation initiativesMaintain project documentationFollow Project Management best in class standardsChange Management & TrainingDevelop change management and communication strategiesDesign and deliver training programs for data owners, stewards, and plant teams — including guidance on using Alation Provide hands-on coaching to local teams during implementationFoster a culture of data ownership and accountability Master Data Standards DefinitionAssess the current state of supply chain master data across SAP and Oracle JDE, identifying gaps, inconsistencies, and root causesDefine data standards, naming conventions, field-level rules, and data dictionaries for all in-scope objectsEstablish data quality rules, controls and validation criteria Document and publish all standards, data dictionaries, and definitionsData Cleansing & RemediationDesign, lead and execute structured data cleansing programs across Supply ChainCoordinate cross-functional teamsImplement controls to prevent recurrence and track data quality improvementGovernance Framework & Data OwnershipPartner with the existing Data Governance organization to align supply chain master data governance with company-wide frameworksEstablish roles, responsibilities, decision rights, and RACI matricesControl Mechanisms & Data Quality MonitoringDesign and implement process controls and system checkpoints Develop metrics, monitoring dashboards, and reporting mechanisms During defined period after project closure, conduct regular audits across plants and regions, identify non-compliance, and drive corrective action plansLeverage Alation to support data quality monitoring, audit trails, and compliance trackingReport on data quality status and progressProcess Analysis & ImprovementAnalyze end-to-end data creation, maintenance, and approval processes across plants, regions and functions to identify gaps, inconsistencies, and root causes of data quality issuesMap current-state processes and design improved future-state workflows that embed data standards and governance requirements at sourceLead process improvement initiatives to eliminate recurring data quality problemsDefine and document processes and standard operating procedures (SOPs) for master data creation and maintenance processes, ensuring alignment across all regions and business linesCollaborate with plant teams, data owners, and supply chain stakeholders to validate and implement redesigned processesMonitor the effectiveness of process improvements over time and adjust as needed to sustain data quality gainsDigital Initiative EnablementThis role enables key digital programs: advanced planning tools, MDM platform, unified data platform, and other initiativesEnsure master data standards and cleansing activities are sequenced to meet digital program timelinesCollaborate with IT to translate data requirements into system specificationsEnsure Alation is positioned as the central documentation and reference layer for master data standards feeding into all digital programsSupport data migration and system testing activities where master data quality is a dependencyStakeholder Management & CollaborationBuild strong working relationships with plant managers, regional supply chain leaders, data owners, IT, and the
Data Governance organizationFacilitate cross-functional workshops to define standards, resolve conflicts, and build consensusDevelop and maintain a network of master data champions across plants and regionsPresent progress, risks, and recommendations to GSC leadership and steering committees Qualifications:EducationDegree in Supply Chain, Operations, Engineering, Business Administration, or related field — Master's degree preferredFluency in English is a must; additional languages are a strong advantageCertifications preferred: Master Data Management, Project Management, Lean Six SigmaFluent business level EnglishExperienceSolid experience in a global manufacturing, chemical, or industrial companyStrong project management track record in complex, multi-site, global environmentsHands-on experience with supply chain master data in SAP and/or Oracle JDE — material master, BOMs, routings, planning parameters, logistics dataProven experience defining data standards, leading cleansing programs, or implementing governance frameworksExperience in process analysis, process mapping, and process improvement — ideally applied to data management or supply chain operationsPreferred Supply chain background across planning, logistics, or manufacturing operationsExperience in a global matrixed organization, leading through influenceExposure to data catalogue tools such as Alation or equivalent is an advantageExposure to digital transformation programs (MDM platforms, planning tools, ERP rollouts) is a strong advantage Additional Information:Master Data Management : Deep understanding of supply chain master data objects, data quality principles, and MDM concepts Project Management : Proven ability to plan and deliver complex multi-workstream projects in a global environment Supply Chain KnowledgeSC Knowledge :Solid understanding of end-to-end supply chain processes including planning, logistics, and manufacturingERP Proficiency : Hands-on experience with master data in SAP and/or Oracle JDEData Governance: Familiarity with governance frameworks, data ownership models, and governance tooling Data Catalogue ToolsExperience with or ability to quickly adopt data catalogue tools such as Alation for documentation, governance, and data quality managementProcess Improvement : Ability to analyse, map, and redesign data-related processes using structured methodologies such as Lean Six SigmaStakeholder Management : Ability to influence and drive consensus across cultures and functions without direct authorityChange Management : Experience driving behavioural and operational change in complex global organizationsCommunication: Excellent written and verbal skills in English; able to present complex topics clearly to diverse audiences Analytical Thinking: Strong data analysis, problem-solving, and root cause analysis capabilities As an inclusive company, Veolia is committed to diversity and gives equal consideration to all applications, without discrimination.
Europe - remote /hybrid depending on the specific country's rules.
Please apply with English version of your CV for screening purposes.
As Supply Chain Master Data Project Manager within the Global Supply Chain (GSC) Continuous Improvement team, you will own and drive the master data agenda for supply chain operations across all Veolia Water Tech regions and business lines.
Your primary mission is to define data standards, execute data cleansing efforts, establish governance frameworks, and implement sustainable control mechanisms for supply chain master data — covering material master, planning data, BOMs, routings, logistics, and asset data across our SAP and Oracle JDE environments.
Where data quality issues are rooted in upstream process gaps, you will identify, design, and improve the underlying supply chain processes to ensure data standards are created, maintained, and sustained correctly at source.
This role is directly tied to the success of strategic digital initiatives including advanced planning tools, an MDM platform, and a unified data platform. Clean, standardized, and governed master data is the foundation these programs depend on — making this role both urgent and strategically critical.
You will operate in a global matrix environment, leading by influence and building consensus across plant teams, regional leaders, DB&T, and the Data Governance organization to deliver results.
This is a senior position and our candidate will need a solid and ongoing history in this field.Roles & ResponsibilitiesProject Management & ExecutionDevelop and maintain detailed project plans Manage risks, issues, dependencies, and budgets Facilitate governance reviews and steering committee meetingsManage broader digital and supply chain transformation initiativesMaintain project documentationFollow Project Management best in class standardsChange Management & TrainingDevelop change management and communication strategiesDesign and deliver training programs for data owners, stewards, and plant teams — including guidance on using Alation Provide hands-on coaching to local teams during implementationFoster a culture of data ownership and accountability Master Data Standards DefinitionAssess the current state of supply chain master data across SAP and Oracle JDE, identifying gaps, inconsistencies, and root causesDefine data standards, naming conventions, field-level rules, and data dictionaries for all in-scope objectsEstablish data quality rules, controls and validation criteria Document and publish all standards, data dictionaries, and definitionsData Cleansing & RemediationDesign, lead and execute structured data cleansing programs across Supply ChainCoordinate cross-functional teamsImplement controls to prevent recurrence and track data quality improvementGovernance Framework & Data OwnershipPartner with the existing Data Governance organization to align supply chain master data governance with company-wide frameworksEstablish roles, responsibilities, decision rights, and RACI matricesControl Mechanisms & Data Quality MonitoringDesign and implement process controls and system checkpoints Develop metrics, monitoring dashboards, and reporting mechanisms During defined period after project closure, conduct regular audits across plants and regions, identify non-compliance, and drive corrective action plansLeverage Alation to support data quality monitoring, audit trails, and compliance trackingReport on data quality status and progressProcess Analysis & ImprovementAnalyze end-to-end data creation, maintenance, and approval processes across plants, regions and functions to identify gaps, inconsistencies, and root causes of data quality issuesMap current-state processes and design improved future-state workflows that embed data standards and governance requirements at sourceLead process improvement initiatives to eliminate recurring data quality problemsDefine and document processes and standard operating procedures (SOPs) for master data creation and maintenance processes, ensuring alignment across all regions and business linesCollaborate with plant teams, data owners, and supply chain stakeholders to validate and implement redesigned processesMonitor the effectiveness of process improvements over time and adjust as needed to sustain data quality gainsDigital Initiative EnablementThis role enables key digital programs: advanced planning tools, MDM platform, unified data platform, and other initiativesEnsure master data standards and cleansing activities are sequenced to meet digital program timelinesCollaborate with IT to translate data requirements into system specificationsEnsure Alation is positioned as the central documentation and reference layer for master data standards feeding into all digital programsSupport data migration and system testing activities where master data quality is a dependencyStakeholder Management & CollaborationBuild strong working relationships with plant managers, regional supply chain leaders, data owners, IT, and the
Data Governance organizationFacilitate cross-functional workshops to define standards, resolve conflicts, and build consensusDevelop and maintain a network of master data champions across plants and regionsPresent progress, risks, and recommendations to GSC leadership and steering committees Qualifications:EducationDegree in Supply Chain, Operations, Engineering, Business Administration, or related field — Master's degree preferredFluency in English is a must; additional languages are a strong advantageCertifications preferred: Master Data Management, Project Management, Lean Six SigmaFluent business level EnglishExperienceSolid experience in a global manufacturing, chemical, or industrial companyStrong project management track record in complex, multi-site, global environmentsHands-on experience with supply chain master data in SAP and/or Oracle JDE — material master, BOMs, routings, planning parameters, logistics dataProven experience defining data standards, leading cleansing programs, or implementing governance frameworksExperience in process analysis, process mapping, and process improvement — ideally applied to data management or supply chain operationsPreferred Supply chain background across planning, logistics, or manufacturing operationsExperience in a global matrixed organization, leading through influenceExposure to data catalogue tools such as Alation or equivalent is an advantageExposure to digital transformation programs (MDM platforms, planning tools, ERP rollouts) is a strong advantage Additional Information:Master Data Management : Deep understanding of supply chain master data objects, data quality principles, and MDM concepts Project Management : Proven ability to plan and deliver complex multi-workstream projects in a global environment Supply Chain KnowledgeSC Knowledge :Solid understanding of end-to-end supply chain processes including planning, logistics, and manufacturingERP Proficiency : Hands-on experience with master data in SAP and/or Oracle JDEData Governance: Familiarity with governance frameworks, data ownership models, and governance tooling Data Catalogue ToolsExperience with or ability to quickly adopt data catalogue tools such as Alation for documentation, governance, and data quality managementProcess Improvement : Ability to analyse, map, and redesign data-related processes using structured methodologies such as Lean Six SigmaStakeholder Management : Ability to influence and drive consensus across cultures and functions without direct authorityChange Management : Experience driving behavioural and operational change in complex global organizationsCommunication: Excellent written and verbal skills in English; able to present complex topics clearly to diverse audiences Analytical Thinking: Strong data analysis, problem-solving, and root cause analysis capabilities As an inclusive company, Veolia is committed to diversity and gives equal consideration to all applications, without discrimination.