SAP Data Migration Lead
Role Summary
We’re seeking a seasoned SAP Data Migration Lead with hands-on ETL expertise and a strong track record of delivering multiple end-to-end (E2E) SAP implementations. This role will own the migration strategy, governance, and execution across all phases—from discovery and scoping through load & reconciliation—ensuring high-quality, compliant, and business-ready data in SAP S/4HANA.
Key Responsibilities
- Define end-to-end data migration strategy, scope, cutover approach, and success criteria aligned to program milestones.
- Establish data migration governance, standards, templates, and quality KPIs (completeness, accuracy, conformity, consistency, and timeliness).
- Lead data object prioritization (e.g., master data, transactional/historical, configuration-related reference data).
- Drive the Data Readiness program with Business and IT team.
- Lead data mapping workshops; define transformation rules from legacy sources to SAP target structures.
- Design and build ETL workflows (extraction, profiling, cleansing, transformation, enrichment) with auditability and repeatability.
- Plan and execute mock loads, dress rehearsals and final cutover, including delta strategies.
- Act as the primary point of contact for data migration across Business, Functional, Technical, and PMO streams.
Required Qualifications & Experience
- 8–10 years specifically in SAP Data migration.
- Hands-on any ETL tool (e.g., SAP Data Services/BODS, Informatica, Talend, Azure Data Factory, or SSIS).
- Strong knowledge of SAP data structures for relevant modules: S/4HANA (MM/SD/FI/CO/PP/PM/WM/EWM), SAP CRM, etc.
- Experience with data quality, profiling, and master data management
- Proficiency in SAP load technologies (IDoc/BAPI/PI/PO, LSMW/BDC, S/4HANA Migration Cockpit, Fiori apps, APIs).
- Excellent communication, stakeholder management, and reporting skills.
Nice-to-Have / Preferred
- Experience with Power BI for reconciliation dashboards.
- Experience in Macros.
Key Deliverables
- Data Migration Strategy & Plan (scope, objects, cycles, cutover).
- Data Mapping Specifications & transformation rules per object.
- Migration Runbooks (mock loads, dress rehearsals, cutover).
- Data Quality Reports & Reconciliation dashboards with sign-offs.
- Risk/Issue logs, Readiness checklists, and Mock load exit criteria.
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