Data Owner (Sap MDM & Sap S4 Hana) Uberlife Consulting

5.0 - 10.0 years

6 - 11 Lacs

Thane

Work from Office

Mandates: Should have knowledge of SAP MDM object with S/4HANA, Data Architecture, Database Management, Master Data Management Additionally experience in the textile domain would be an added advantage for this role. Any Manufacturing or Pharma industries will also work. Experience in S4 Hana implementation projects. Must have Vendor Management & BOM exp Sap MM & Sap SD exp will be an added advantage 5-7 years of exp in total Role: Assists in the application and implementation procedures of data standards and guidelines on data ownership, coding structures, and data replication to ensure access to and integrity of data sets. Conducts data cleansing and data transformation to rid the system of old, unused data, or duplicate data for better management and quicker access. Researches, coordinates and installs software releases and database integration to ensure Work cross-functionally across lines of business to ensure their domains data is managed and understood Driving end-to-end the cleansing, maintenance, and governance of data by defining data standards for creation, completeness, and accuracy for attributes within the respective master. Responsible for ongoing data quality initiatives such as research, match/merging, and various aspects of data cleansing to remediate issues identified. Work with SI partner ad business to define data architecture and data rules for the respective data domain. Ensure the accuracy and quality of data as used across the organization Direct Data Quality activities to create and maintain good quality data. Work with other Data Owners to resolve data issues and dissonance across business units Second level review for issues identified by Data Champions Guide the analysis and discussion of data and/or process issues in Master data Monitor SLAs and identify opportunities for continuous improvement of Master Data processes and workflows Ensure teamwork and collaboration across data domains, business units, stakeholders, and support organizations. Periodically provide reports to the Steering Committee on data quality, compliance, policies, or regulatory requirements that impact the data domain.

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