SAP Data Migration Lead – SuccessFactors Employee Central Payroll

Accenture Federal Services•Washington, DC
•$120,400 - $234,700

About The Position

At Accenture Federal Services, our mission is to help the US federal government become stronger and safer, and to improve the lives of its citizens through the power of technology and ingenuity. We are a community of over 13,000 professionals dedicated to driving positive, lasting change for our clients across defense, national security, public safety, civilian, and military health organizations. Recognized as a Glassdoor Top 100 Best Place to Work, Accenture Federal Services offers a collaborative and supportive environment where you can grow, learn, and thrive through hands-on experience, certifications, and industry training. Join us to make a meaningful impact and advance government missions.

Requirements

  • 7+ years of SAP experience
  • 2+ years of SAP data conversion experience across SAP ECC, IBP, and/or SRM environments
  • 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
  • Must be eligible to obtain a government clearance
  • US citizenship required (no dual citizenship)

Nice To Haves

  • 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

Responsibilities

  • 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).

Benefits

  • Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here.
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