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SAP Data Lead
2 weeks ago
SAP Data Lead will support Business Operations Transformation with data migration planning, strategy & execution. They coordinate the building, managing, and maintaining a repeatable data load and migration process for SAP implementations and work with the Business Operations Transformation teams and the countries in managing the. Data Migration to design, identify, extract, cleanse, mapping, transformation, and loading (ETL) both the master data sets & transactional data sets from multiple sources into SAP system and work with business to get necessary sign offs.
Requirements
- Strong and solid experience 10+ years of exp in SAP Data management and Lead of Data Migration Teams in a large-scale global SAP Implementation and ability to manage system integration and external vendor resources are a must.
- Experience with data migration methodologies and approaches for SAP migrations is a must
- Expert knowledge in data cleansing, analysis, mapping and conversion from legacy systems & exporting to other systems.
- Experience with SAP is a must.
- S/4 HANA and Ariba a plus
- Data migration tools and techniques (e.g., LSMW)
- Solid understanding and experience with Data quality tools and techniques
- Ability to prioritize and drive business to cleanse and validate data including reconciliation
- Ability to drive teams in an international and distributed team
- Strong communication and decision-making
- Strong stakeholder management across all levels
Strong and solid experience 10+ years of exp in SAP Data management and Lead of Data Migration Teams in a large-scale global SAP Implementation and ability to manage system integration and external vendor resources are a must. Experience with data migration methodologies and approaches for SAP migrations is a must Expert knowledge in data cleansing, analysis, mapping and conversion from legacy systems & exporting to other systems. Experience with SAP is a must. S/4 HANA and Ariba a plus Data migration tools and techniques (e.g., LSMW) Solid understanding and experience with Data quality tools and techniques Ability to prioritize and drive business to cleanse and validate data including reconciliation Ability to drive teams in an international and distributed team Strong communication and decision-making Strong stakeholder management across all levels
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