SAP Functional SME - Army Finance & LCNC Expert

SMX; Topeka (KS); On-site; USD 113,000 - 188,000; Full time

Job summary

SMX is seeking SAP Functional SMEs to act as the domain authority for Army financial processes. You will guide the extraction of legacy logic from GFEBS BW into configurable LCNC workflows, ensuring strict adherence to accounting validations, posting rules and full audit logging.

You will define configuration and validation rules for critical capabilities including Statement of Transactions, FB50 Reclassification, EFD, and Spend Plans, while mapping LOA and master data for DDRS and MILPERS.

Qualifications

• Active U.S. Secret Clearance (or higher).
• 5+ years of SAP functional or technical experience, with hands-on knowledge of SAP BW and SAP ECC.
• Deep expertise in SAP data structures, business processes, interfaces, and transactional processing.

Responsibilities

• Analyze existing custom SAP applications and document transactional business processes to translate them into platform-independent requirements.
• Define configuration and validation rules for critical capabilities including Statement of Transactions, FB50 Reclassification, Electronic Funds Distribution (EFD), and Spend Plans.
• Map legacy lines of accounting (LOA) and master data derivations for systems like DDRS and MILPERS.
• Support User Acceptance Testing (UAT), exception handling triage, and the transition of Level 1 support responsibilities to the sustainment team.

Skills

Secret Clearance

SAP BW

SAP ECC

SAP Data Structures

SAP Experience

Job description

SMX is seeking SAP Functional SMEs to act as the domain authority for Army financial processes. You will guide the extraction of legacy logic from GFEBS BW into configurable LCNC workflows, ensuring strict adherence to accounting validations, posting rules and full audit logging.

You will define configuration and validation rules for critical capabilities including Statement of Transactions, FB50 Reclassification, EFD, and Spend Plans, while mapping LOA and master data for DDRS and MILPERS.