Wrocław, Wrocław, Lower Silesian Voivodeship, Polska
Hays Poland
6. 2. 2026
Informacje o stanowisku
Master Data Subject Matter Expert (Materials)
Miejsce pracy: Wrocław
Your responsibilities
Act as the Subject Matter Expert for Master Data, providing authoritative guidance on material and business partner related processes across the end-to-end lifecycle (e.g. creation, maintenance, extensions, changes).
Define and validate master data models, attributes, dependencies, and ownership, ensuring alignment with business and system needs.
Ensure master data processes support downstream processes such as procurement, supply chain, manufacturing, finance, logistics, sales.
Serve as a core project team member in global or regional initiatives (e.g. SAP implementations, rollouts, carve-outs, MDG deployments, or data transformation programs).
Own and deliver project-specific master data deliverables, including: Process designs and documentation, Data standards and templates, Governance frameworks and RACI models, Migration rules, validation criteria, and acceptance standards
Support project milestones by providing expert input during design, build, test, cutover, and hyper care phases.
Design and review future-state material and business partner master processes, focusing on standardisation, automation, and data quality.
Drive alignment between global standards and local business requirements, resolving conflicts through expert recommendations.
Ensure consistency of material master processes across systems, regions, and business units.
Define and enforce master data governance principles, including data ownership, stewardship, approval workflows, and compliance rules.
Establish data quality standards, controls, and KPIs for material master data.
Act as an escalation point for complex material master data issues within projects.
Partner closely with IT, business process owners, supply chain, procurement, finance, and external vendors.
Translate business requirements into clear master data and system specifications.
Challenge and guide stakeholders using best practices and expert judgment.
Contribute to training materials, playbooks, and guidelines for material master processes and governance.
Support knowledge transfer to operational teams and Business Service Centres post-project.
Employer requirements
Material Master Data Expertise: Deep understanding of material master and business partner structures, views, dependencies, and business impact
Data Governance: Strong knowledge of data ownership, stewardship models, approval workflows, and compliance frameworks
Data Quality Management: Ability to define data quality rules, validation logic, and remediation approaches
Data Migration & Transformation: Experience defining migration rules, cleansing strategies, and reconciliation principles
Ability to work confidently with large datasets (tens or hundreds of thousands of records)
Capability to create structured, reusable, and auditable Excel-based deliverables
System Knowledge:
SAP ERP (ECC or S/4HANA)
SAP MDG (Material domain) or comparable MDM solutions
Process Design: Capability to design and document end-to-end master data processes
Change & Impact Management: Understanding how master data changes affect business processes and systems
Fluent in English (advanced working proficiency required)
Bachelors degree in IT, Data Management, Business Administration, or a related field.
Master’s degree or professional certifications in data management or SAP are an advantage.
Proven experience as a Master Data SME or Lead, with a strong focus on Material Master Data
Demonstrated experience working in project environments (implementations, transformations, global rollouts)
Hands-on experience with SAP ERP and SAP MDG (Material) is mandatory.
Experience defining global standards and governance models rather than performing operational execution
Strong analytical and conceptual thinking skills
Ability to translate complex topics into clear, structured recommendations
Excellent communication and stakeholder management skills
High attention to detail and strong commitment to data integrity
Confidence to challenge assumptions and drive best-practice solutions
Delivery-oriented mindset with a strong sense of ownership
