Deputy Director - Data (Master + Transactional) Quality Lead

10 - 15 years

27 - 32 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

 Overview 
  • DQ Expert will act as individual contributor enforcing strict Enterprise Data Management strategy through globaly defined data standards and governance in order to successfuly deliver business transformation within SAP S/4 Hana projects.
  • Data Quality Expert will be responsible for delivery of internal data quality application to support data readiness and conversion activities for project and new market deployment assuring Global Template data standards are followed. This role involves active engagement in requirements gathering, testing, data cleansing, issue analysis and resolution, data conversion, and mock/cutover conversion activities.
  • Position holder must work directly with multiple project fuction specialists, ex.OTC, P2P, MTD, as part of extended Data Conversion team on day to day basis as well as engaging the market business process/data owners .

  •  Responsibilities 
  • Partner with Data Validation Team to ensure Quality of migrated data
  • Ensure global lift and shift opportunities are deployed across the sectors
  • Manage questions and clear path for developers to complete build/test of data validation
  • Work with Global on design updates/new patterns
  • Manager the overall tracker for conversion stats and Provide direction & guidance to conversion team\"

  •  Qualifications 
  • Minimum Bachelors degree is required. Computer Science or Information Systems is preferred.
  • Minimum 10 years in IT in ERP transformation programs in Data Management area.
  • Experience in at least 3 end to end implementations of SAP ERP/ECC with responsibility for Data Quality and Master data standards.
  • Experience of working with/manipulating big data sets (or systems built on significant datasets)
  • Knowledge of SAP Master data models
  • Data Readiness, Conversion, Migration and Cutover experience from a functional standpoint
  • Understanding of Data Quality/Data cleansing practices
  • Demonstrated documentation acumen, presentation of data standards materials for reporting to project and stakeholders alignment.
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