Data Architecture Analyst (5557)

We are seeking a Data Architecture Analyst to support the cross-functional digital transformation and modernization of the U.S. Army’s enterprise business systems. Moving beyond legacy SAP ERP environments (including SAP Core Component reaching end-of-life), this initiative consolidates logistics, sustainment, and financial business components across legacy ERPs (GFEBS, GCSS-Army, LMP, AESIP) into a centralized Master Data Management (MDM) / Master Data Governance (SAP MDG) framework in SAP S/4HANA. Working under our contract supporting the Office of the Assistant Secretary of the Army for Financial Management and Comptroller (ASA FM&C), the Data Architecture Analyst will take a broad, enterprise-level view to lead requirements gathering, perform logical and physical data mapping, and drive end-to-end data governance across both financial and logistics domains., + Enterprise Data Architecture & Governance: Support the design, alignment, and implementation of enterprise data models and Master Data Governance (SAP MDG) frameworks spanning both financial and logistics/sustainment domains.

• Cross-Domain Requirements Gathering: Lead end-to-end data requirements gathering with functional, logistics, and financial stakeholders across ASA (FM&C), USAFMCOM, and Army sustainment organizations, translating complex cross-functional business processes into unified data specifications.

• Logical & Physical Data Mapping: Perform detailed logical and physical data mapping from disparate legacy systems (GFEBS, LMP, GCSS-Army, AESIP Hub) to target SAP S/4HANA structures, ensuring schema consistency, cross-system interoperability, and auditability.

• Data Cleansing & Enterprise Migration: Support data profiling, quality assessments, transformation rules, and migration strategies to transition legacy financial, supply chain, and property data into centralized S/4HANA master data repositories.

• Cross-Functional Collaboration: Partner with solution architects, software engineering teams, and Agile release trains to ensure enterprise data standards, data governance policies, and Defense Business System (DBS) rationalization goals are fully realized.

• Education: Bachelor’s Degree (BS/BA) from an accredited institution in Computer Science, Information Systems, Data Analytics, Engineering, or a related technical discipline.

• Experience: Minimum of 3 years of professional experience in data architecture, data modeling