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# SAP Data Migration Lead - SuccessFactors Employee Central Payroll

- **Company:** Accenture
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $120,400.0 - $234,700.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Big Data, Data Validation, Data Cleansing, Data Conversion, Data Dictionary, Extract Transform Load (ETL), Data Mapping, Data Migration, Data Profiling, Data Transformation Services, SAP ERP, Object-Oriented Software Development, Migration Manager, SuccessFactors, SAP (Applications), SAP Human Resource Management Software, SAP NetWeaver Data Management, SAP Project Management, Scripting, SAP HCM Payroll, Data Management
- **Published:** October 2, 2026
- **Apply:** https://dejobs.org/x/x/C00FE9EFE2304E4F8067BBAC1A08D7D9/job/

## About the Role

* 7+ years of SAP experience
 * 2+ years of SAP data conversion experience across SAP ECC, IBP, and/or SRM environments (note: recommend confirming whether this should reference SAP HCM/Payroll and EC systems specifically, given this role's focus on EC Payroll modernization - happy to help tighten this if the intent is legacy HCM/ECC-to-EC conversion rather than IBP/SRM)
 * Hands-on experience with data migration tools and methodologies (e.g., LSMW, SAP Migration Cockpit/LTMC, BODS, or equivalent ETL tools)
 * Experience performing data profiling, cleansing, and reconciliation activities in an SAP conversion project
 * Strong Excel/data analysis skills for large-scale data mapping and validation

Bonus Points If:

 * Experience specifically with SAP Employee Central (EC) and/or Employee Central Payroll data conversion
 * Familiarity with legacy SAP HCM/Payroll infotypes and their mapping to Employee Central object model
 * Experience leading mock conversion/cutover cycles on a federal or large enterprise SAP program
 * Knowledge of SAP data migration accelerators or Accenture proprietary conversion tools/methodologies
 * PMP or equivalent project leadership experience for teams of 3+ analysts

Eligibility Requirements:

 * Must be eligible to obtain a government clearance
 * US citizenship required (no dual citizenship)

## Description

Responsible for leading end-to-end data migration efforts for a complex SAP Employee Central Payroll modernization program, driving data quality, migration strategy, and cutover execution across multiple workstreams., * Partnering with the client to lead Data Quality, Data Profiling, and Data Cleansing analysis across legacy source systems, identifying gaps, anomalies, and remediation requirements prior to conversion

 * Designing an appropriate data migration solution and end-to-end data migration strategy , including source-to-target mapping, extraction/transformation/load (ETL) approach, and tooling (e.g., LSMW, LTMC/LTMOM, BODS, migration cockpit, or custom scripts) appropriate for SAP EC Payroll
 * Defining and documenting data conversion rules, mapping logic, and business rules for employee master data, payroll infotypes, time/absence data, and organizational structures moving into SAP EC Payroll
 * Writing detailed technical specification documents for extraction, transformation, validation, and load processes, ensuring traceability from legacy fields to target EC Payroll fields
 * Leading mock conversion cycles and reconciliation activities , including defining data validation/exception reports and error-resolution processes with functional and client teams
 * Developing and executing a cutover plan for conversion execution , including sequencing, downtime windows, fallback/rollback procedures, and go-live readiness criteria
 * Coordinating with SAP Functional Consultants (HCM/Payroll, Time, Benefits), technical developers, and client data owners to ensure alignment between functional design and data conversion approach
 * Managing a data migration team, including task assignment, quality review of deliverables, and mentoring junior data conversion analysts
 * Reporting migration status, risks, and issues to program leadership and client stakeholders, and maintaining data migration governance documentation (data dictionaries, mapping trackers, defect logs)