master data manager

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• Bachelor’s degree in Supply Chain, Business, Engineering, Data Management, Information Systems, Finance or a related discipline.
• 7+ years of relevant experience in master data management, supply chain, procurement operations, vendor management or ERP data governance.
• Strong experience managing master data within ERP systems, preferably with demonstrated
  experience across both material/parts and vendor/supplier master data domains.
• Demonstrated experience leading and developing global, geographically dispersed teams,
  with the ability to set direction, build accountability and deliver results across locations and
  cultures.
• Proven ability to lead and influence cross-functional global stakeholders across Supply Chain, Finance, IT, Operations, Asset Integrity, Projects, Compliance and other business functions.
• Strong knowledge of data governance, data quality, lifecycle management and stewardship
  principles.
• Strong analytical, problem-solving, decision-making and communication skills.
• Working knowledge of internal controls, audit, compliance and risk management.
• Fluent written and spoken English, with strong communication and influencing skills in an
  international business environment.
• Availability and willingness to travel as required to support business needs, stakeholder
  engagement,

Agencja zatrudnienia – nr wpisu 47

ta oferta pracy przeznaczona jest dla osób powyżej 18 roku życia

RESPONSIBILITIES

• Own and develop the master data strategy, governance framework and operating model
  across parts and supplier data domains.
• Lead, coach and develop the master data team, setting priorities, delegating responsibilities
  and building sustainable capability.
• Establish data quality standards, service levels and performance measures, and report
  progress, risks and corrective actions to leadership.
• Ensure master data processes comply with internal controls, audit requirements, applicable
  regulations and customer expectations.
• Prioritize cross-domain technology and configuration requirements based on business
  impact, operational risk and governance needs.
• Build effective partnerships across Supply Chain, Finance, IT, Operations, Asset Integrity, Projects, Compliance and other key functions.
• Sponsor continuous improvement, digitalization and automation initiatives that improve data
  quality, process efficiency and user experience.
• Oversee data lifecycle management, including cleansing, duplicate prevention, maintenance,
  deactivation and remediation of quality issues.
• Identify and mitigate operational, compliance and business-continuity risks related to parts
  and supplier master data.
• Provide clear governance decisions and resolve escalations that cannot be addressed within
  the operational teams.