SAP SuccessFactors Employee Central Payroll – Data Mapping, Functional Consultant

Accenture Federal Services

. Analyze legacy HR and payroll data, mapping source fields and values to appropriate SAP ECP structures .

Posted 10/23/2026full-timeRemote • United StatesMid-LevelSenior💰 $91,700 - $178,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in SAP HCM and ECP payroll data structures, with a strong focus on data mapping, transformation, and validation processes. Proven ability to analyze legacy HR data and ensure accurate representation within SAP systems while maintaining compliance and data integrity.

Highest-signal resume keywords

SAP HCM Payroll ExperienceSAP SuccessFactors Employee Central PayrollData Mapping and Conversion ActivitiesData Validation and Discrepancy ResolutionPublic Trust Clearance Eligibility

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data MappingData TransformationData ValidationPayroll Data StructuresFunctional Conversion RulesSource-to-Target MappingData Quality AnalysisBusiness Rules InterpretationData ReconciliationMapping Specifications Documentation

Soft Skills

CollaborationProblem-SolvingAttention to DetailCommunication

Tools & Technologies

SAP ECPSAP HCM

Industry Keywords

HR Data AnalysisPayroll ProcessingData GovernanceEmployee Data ManagementPublic Trust Clearance

About the role

Key responsibilities & impact

Analyze legacy HR and payroll data, mapping source fields and values to appropriate SAP ECP structures
Develop, maintain, and document detailed source-to-target mapping specifications
Collaborate with legacy system SMEs to understand data definitions, business rules, and historical usage
Apply SAP HCM/ECP knowledge to determine target structures, fields, values, and relationships
Define transformations, value mappings, defaulting logic, and functional conversion rules
Identify data quality issues, gaps, inconsistencies, and items requiring functional or business decisions
Ensure mapping rules align with approved ECP configuration and payroll design
Maintain traceability of mapping decisions, assumptions, data rulings, and outstanding issues
Partner with data conversion developers to translate functional mappings into executable conversion logic
Review and validate converted data within SAP ECP during iterative conversion cycles
Perform functional validation of employee and payroll data against mapping specifications
Analyze discrepancies and determine root causes
Support data reconciliation to confirm completeness and accuracy of converted datasets
Work with payroll functional, technical, conversion, and legacy teams to resolve issues
Support data readiness for testing, payroll parallel testing, and production cutover
Update mapping specifications and conversion rules as requirements or issues are identified

Requirements

What you’ll need

4+ years of experience with SAP HCM Payroll and/or SAP SuccessFactors Employee Central Payroll (ECP)
Deep understanding of SAP HCM/ECP payroll data structures, fields, and foundational logic
Experience supporting data mapping and conversion activities for SAP HCM or SAP ECP implementations
Ability to interpret legacy HR/payroll data and determine proper representation within SAP
Experience defining data transformations, mapping rules, and conversion requirements
Hands-on experience validating converted data and resolving data discrepancies
Understanding of employee/master data dependencies on payroll results
US Citizens only (no dual citizenship)
Must be eligible to obtain a Public Trust Clearance
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Benefits

Comp & perks

Collaborative and caring community
Hands-on experience
Certifications
Industry training
Wide variety of benefits (details provided via employer benefits information)