Industry experience.
The Data Migration Manager will have complete responsibility for: Leading on the data migration needs all aspects of data analysis, mapping and transfer Owning the quality of the migrated data and the validity responsibilities of the Data Migration Manager will include: Identifying the data migration impact of all solution for data migration during the solution design phase Devise and get approval for the data migration all data Oversee and ensure a gap analysis for any missing or archive data Reviewing as is data quality
OR CT Leading data migration for the new solution Oversee and ensure delivery of all data analysis, mapping transfer activities Ensure the quality of migrated data and the validity of migration processes and operations Ensure the accurate filling of intermediate data tables during data load Matric and a relevant Tertiary Qualification Qualification Experience in Management of data migration projects Experience in working on Financial/Insurance
OR CT Leading data migration for the new solution Oversee and ensure delivery of all data analysis, mapping transfer activities Ensure the quality of migrated data and the validity of migration processes and operations Ensure the accurate filling of intermediate data tables during data load Matric and a relevant Tertiary Qualification Qualification Experience in Management of data migration projects Experience in working on Financial/Insurance
elements are monitored on a 24/7 basis.
requirements and processes Responsible for technical data projects Assist with process documentation and improvement Waterfall Methodologies Experience with technical / data Projects Salary Market Related
to ensure it is closed out correctly.
star schemas when needed and reconcile with the data source. Analyse the requirements and propose the Maintain the existing platforms and monitor the data loadings. Support the users and train them. Key including users' management. Monitor the processes and data flows and bug fixing. New Release testing. Document implement and reconcile solutions. Enrich the existing data model based on changes happening in the sources
star schemas when needed and reconcile with the data source. Analyse the requirements and propose the Maintain the existing platforms and monitor the data loadings. Support the users and train them. Key including users' management. Monitor the processes and data flows and bug fixing. New Release testing. Document implement and reconcile solutions. Enrich the existing data model based on changes happening in the sources