Supply Chain Master Data Project Manager

Veolia Environnement SA•Trevose, PA

13h•Hybrid

About The Position

Veolia Group is a global leader in environmental services with nearly 218,000 employees, specializing in water, energy, and waste management. Veolia's Water Technology Business focuses on tackling complex challenges related to water scarcity, quality, productivity, and energy to create a more sustainable future. As the Supply Chain Master Data Project Manager within the Global Supply Chain (GSC) Continuous Improvement team, this role involves owning and driving the master data agenda for supply chain operations across all Veolia Water Tech regions and business lines. The 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 SAP and Oracle JDE environments. The position also requires identifying, designing, and improving underlying supply chain processes to ensure data standards are created, maintained, and sustained correctly at source, especially where data quality issues stem from upstream process gaps. This role is directly tied to the success of strategic digital initiatives, including advanced planning tools, an MDM platform, and a unified data platform, as clean, standardized, and governed master data is foundational. The Project Manager 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. This is a senior position requiring a solid and ongoing history in the field.

Requirements

Degree in Supply Chain, Operations, Engineering, Business Administration, or related field
Fluency in English is a must
Fluent business level English
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
Experience in a global matrixed organization, leading through influence
Deep understanding of supply chain master data objects, data quality principles, and MDM concepts
Proven ability to plan and deliver complex multi-workstream projects in a global environment
Solid understanding of end-to-end supply chain processes including planning, logistics, and manufacturing
Hands-on experience with master data in SAP and/or Oracle JDE
Familiarity with governance frameworks, data ownership models, and governance tooling
Ability to quickly adopt data catalogue tools such as Alation for documentation, governance, and data quality management
Ability to analyse, map, and redesign data-related processes using structured methodologies such as Lean Six Sigma
Ability to influence and drive consensus across cultures and functions without direct authority
Experience driving behavioural and operational change in complex global organizations
Excellent written and verbal skills in English; able to present complex topics clearly to diverse audiences
Strong data analysis, problem-solving, and root cause analysis capabilities

Nice To Haves

Master's degree preferred
Additional languages are a strong advantage
Certifications preferred: Master Data Management, Project Management, Lean Six Sigma
Preferred Supply chain background across planning, logistics, or manufacturing operations
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

Responsibilities

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
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
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
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
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
Design and implement process controls and system checkpoints
Develop metrics, monitoring dashboards, and reporting mechanisms
Conduct regular audits across plants and regions during a defined period after project closure, 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
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
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
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