Supply Chain Master Data Project Manager at Veolia · Budapest

companyDescription 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. jobDescription 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 & Responsibilities Project Management & Execution Develop and maintain detailed project plans Manage risks, issues, dependencies, and budgets Facilitate governance reviews and steering committee meetings Manage broader digital and supply chain transformation initiatives Maintain project documentation Follow Project Management best in class standards Change Management & Training Develop change management and communication strategies Design and deliver training programs for data owners, stewards, and plant teams — including guidance on using Alation Provide hands-on coaching to local teams during implementation Foster a culture of data ownership and accountability Master Data Standards Definition Assess the current state of supply chain master data across SAP and Oracle JDE, identifying gaps, inconsistencies, and root causes Define data standards, naming conventions, field-level rules, and data dictionaries for all in-scope objects Establish data quality rules, controls and validation criteria Document and publish all standards, data dictionaries, and definitions Data Cleansing & Remediation Design, lead and execute structured data cleansing programs across Supply Chain Coordinate cross-functional teams Implement controls to prevent recurrence and track data quality improvement Governance Framework & Data Ownership Partner with the existing Data Governance organization to align supply chain master data governance with company-wide frameworks Establish roles, responsibilities, decision rights, and RACI matrices Control Mechanisms & Data Quality Monitoring Design 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 plans Leverage Alation to support data quality monitoring, audit trails, and compliance tracking Report on data quality status and progress Process Analysis & Improvement Analyze end-to-end data creation, maintenance, and approval processes across plants, regions and functions to identify gaps, inconsistencies, and root causes of data quality issues Map current-state processes and design improved future-state workflows that embed data standards and governance requirements at source Lead process improvement initiatives to eliminate recurring data quality problems Define and document processes and standard operating procedures (SOPs) for master data creation and maintenance processes, ensuring alignment across all regions and business lines Collaborate with plant teams, data owners, and supply chain stakeholders to validate and implement redesigned processes Monitor the effectiveness of process improvements over time and adjust as needed to sustain data quality gains Digital Initiative Enablement This role enables key digital programs: advanced planning tools, MDM platform, unified data platform, and other initiatives Ensure master data standards and cleansing activities are sequenced to meet digital program timelines Collaborate with IT to translate data requirements into system specifications Ensure Alation is positioned as the central documentation and reference layer for master data standards feeding into all digital programs Support data migration and system testing activities where master data quality is a dependency Stakeholder Management & Collaboration Build strong working relationships with plant managers, regional supply chain leaders, data owners, IT, and the Data Governance organization Facilitate cross-functional workshops to define standards, resolve conflicts, and build consensus Develop and maintain a network of master data champions across plants and regions Present progress, risks, and recommendations to GSC leadership and steering committees qualifications Education Degree in Supply Chain, Operations, Engineering, Business Administration, or related field — Master's degree preferred Fluency in English is a must; additional languages are a strong advantage Certifications preferred: Master Data Management, Project Management, Lean Six Sigma Fluent business level English Experience Solid experience in a global manufacturing, chemical, or industrial company Strong project management track record in complex, multi-site, global environments Hands-on experience with supply chain master data in SAP and/or Oracle JDE — material master, BOMs, routings, planning parameters, logistics data Proven experience defining data standards, leading cleansing programs, or implementing governance frameworks Experience in process analysis, process mapping, and process improvement — ideally applied to data management or supply chain operations Preferred Supply chain background across planning, logistics, or manufacturing operations Experience in a global matrixed organization, leading through influence Exposure to data catalogue tools such as Alation or equivalent is an advantage Exposure to digital transformation programs (MDM platforms, planning tools, ERP rollouts) is a strong advantage additionalInformation 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 Knowledge SC Knowledge :Solid understanding of end-to-end supply chain processes including planning, logistics, and manufacturing ERP Proficiency : Hands-on experience with master data in SAP and/or Oracle JDE Data Governance: Familiarity with governance frameworks, data ownership models, and governance tooling Data Catalogue Tools Experience with or ability to quickly adopt data catalogue tools such as Alation for documentation, governance, and data quality management Process Improvement : Ability to analyse, map, and redesign data-related processes using structured methodologies such as Lean Six Sigma Stakeholder Management : Ability to influence and drive consensus across cultures and functions without direct authority Change Management : Experience driving behavioural and operational change in complex global organizations Communication: 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.