- Define and implement the enterprise Data Governance framework, operating model, policies, standards, and decision rights.
- Build and coordinate a sustainable network of Data Owners and Data Stewards across functions, business units, and geographies; facilitate Data Governance forums and cross-functional escalation mechanisms.
- Lead the governance and business-design aspects of the Master Data Management program, covering priority domains including Customer, Supplier, Material/Product, and Organizational and reference data.
- Define standards and workflows for master data creation, modification, validation, approval, matching, merging, and retirement; establish golden-record principles, authoritative sources, and synchronization requirements in partnership with Data Architecture, Data Engineering, ERP, and IT teams.
- Establish and maintain a common business glossary; define standards for reference data, hierarchies, and classifications; support metadata management and data cataloging adoption where appropriate.
- Ensure that ERP, digital, analytics, AI, and business transformation initiatives incorporate Data Governance and Data Quality requirements from the outset, partnering with architecture and engineering teams to prevent the creation of new data problems.
- Act as a trusted advisor to senior Business and Technology leaders; translate technical data issues into clear business impact and priorities, and drive behavioral change toward greater business accountability for data.
Qualifications
- Demonstrated experience establishing or materially improving Data Governance within a complex, multi-function organization; hands‑on expertise across Master Data Management, Data Quality, and Enterprise Data Management.
- Practical knowledge of MDM operating models, processes, and technologies, with experience across multiple master data domains — preferably including Customer, Supplier, and Material/Product.
- Strong understanding of Data Quality methodologies, business rules, controls, and measurement frameworks, including experience establishing Data Owner and Data Steward models.
- Experience working in ERP‑centric environments; SAP and/or Epicor experience is strongly preferred.
- Ability to work effectively with Data Architects and Data Engineers, with a solid understanding of data models, integrations, lineage, and business rules.
- Proven ability to resolve cross‑functional data issues involving multiple senior stakeholders; strong facilitation, influencing, and structured problem‑solving skills.
- Able to combine strategic thinking with pragmatic, hands‑on execution in a mid-size industrial organization.
- Fluent professional English required; German is beneficial.
- Bachelor's degree in Information Technology, Computer Science, Data Management, or a related field
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Kontaktdaten:
Personalberater Marc Schraeder Recruiting-Team
