SAP SD Functional Consultant with MDM SAP SD Functional Consultant with MDM …

Cognizant
à Kuala Lumpur, Federal Territory, Malaysia
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
Cognizant
à Kuala Lumpur, Federal Territory, Malaysia
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
SAP SD Functional Consultant with MDM

Cognizant hiring a SAP SD Functional Consultant with MDM for Malaysia location, find the below job description:
  • SAP SD Consultant with strong experience is Master Data, Data Migration Projects.
  • Should have experience in S4 Hana implementations
  • SAP MDG or MDM experience is must
  • Strong understanding of Master Data Management (MDM) architectures and business processes and knowledge on SAP MDG
  • Implement master data management standards, enforce data governance procedures and ensure data integrity across multiple platforms for B2B Customer....
  • Expected Strong knowledge in Business Partner module.
  • Perform fit/gap analysis of business requirements against current or target solutions
  • Manage and ensure that all MDM processes incorporate data governance standards
  • Partner with data stewards, sponsors and stakeholders to implement business processes and policies that will support a successful MDM roll out and ongoing program accountability.
  • Work closely with the technical architecture team in delivering end-to-end solutions
  • Lead and manage all organization-wide data governance activities and will have responsibility for improving the quality and managing the protection of sensitive data and information assets
  • Focus on establishing and ensuring adherence to an enterprise data governance framework for data policies, standards and practices to achieve the required level of consistency and quality
  • Serve as a point of escalation for governance, data quality and protection issues
  • Define indicators of performance and quality metrics and ensure compliance with data related policies
  • Facilitate the development and implementation of data quality standards, data protection standards, and adoption requirements across the organization.

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