Job Description:
1. Develop a detailed data migration plan;
2. Finalise data migration strategy;
3. Ensure toolset, environments template are put in place to facilitate the DM process;
4. Provide accurate daily visibility of migration progress through key phases;
5. Ensure processes in place to maintain & confirm accuracy of migrated data;
6. Manage the overall process of data quality sign-offs;
7. Facilitation of data discovery exercise – high level review of data objects with LPO to determine best approach fmigration;
8. Assist LPO with creation of data cleansing plan fremaining data objects;
9. Track ensure the delivery of all data deliverables (DOM, DCW, DOFS, 3rd Party DOMs);
1). DOM – work with LPO, CapFC Developer to ensure all in-scope fields have determined transformation type, rule source;
2). DCW – ensure DCW is created containing all fields as per instructed in the DOM, that the CapFC has sufficiently handed it over to LPO, including sample data required fBODS development;
3). DOFS – make copy of W1 DOFS, review document source data VR sections as required;
4). Dropdowns/config – identify all fields that require a list-of-values to populate a dropdown control, ensure review by LPO, consolidation with Global/W1 values.
10. Track facilitate the build testing of ETL jobs;
11. Ensure the execution delivery of the data cleansing plan;
12. Facilitate the execution of mock loads, including DCW readiness, tracking activities in ALM (i.e., Pre Post Load Validations);
13. Chair daily mock load meetings track progress against load plan;
14. Triage facilitation of data defects;
15. Document process of creating key master data objects in S/4 required fMDG-K2 automation;
16. Input to Master Data Governance track.
Job Specification:
Qualifications & Experience:
1. Bacheldegrees above in Computer Science Business Information System majfrom an accredited university;
2. Minimum 5 years’ experience in SAP;
3. Experience of large-scale SAP implementations transformation programmes;
4. Experience of working with a data dictionary data quality/profiling tools;
5. Experience of configuring data quality rules scorecards within SAP Information Steward;
6. Strong ability to communicate influence effectively with senistakeholders at all levels translating technical ideas understandable language;
7. Ability to successfully manage cross-functional projects involving multiple stakeholders varying levels of management.
Skills & Competencies:
1. Knowledge of the key master data objects within SAP (material, vendor, customer, asset);
2. Knowledge of Data definitions, data quality, data profiling, data transformation, data integration, data flows;
3. Knowledge on Data Architecture Data Modelling;
4. Professional data analytical experience, working well independently within a team;
5. Strongganizational project management skills, attention to detail;
6. Result driven with clear focus can give team clear instruction;
7. A good customer focused/partnership mindset;
8. Good interpersonal, communication problem-solving skills;
9. Strong writtenal communication presentation ;
10. English capability, bothal Writing Skill, be able to communicate with Foreign team.
Attributes uniqueness:
1. Willing to take initiatives to drive the changes fimprovement accountable fthe result;
2. Can marshal resources of all types to get things done;
3. Willingness to learn take more responsibility/risks ;
4. Willingness of working down to earth;
5. Resilient emotional stable.
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