Lead Data Architect

C5MI is not your typical consulting firm. We are a high-performance team of SAP and supply chain experts who solve complex, mission critical challenges for organizations that cannot afford failure.
We hire consultants who thrive in complexity, move fast, take ownership, and deliver under pressure. At C5MI, you will not be siloed or stuck in theory. You will be hands on, client facing, and directly influencing outcomes that matter.
Our culture rewards initiative, accountability, and continuous growth. This is a place where your expertise is valued, your work is meaningful, and your performance truly matters. If you’re energized by learning through real-world challenges, collaborating with top-tier talent, and expanding your capabilities every day, C5MI is where strong consultants level up.
The Lead Data Architect owns the enterprise data architecture for a large-scale, greenfield SAP S/4HANA financial management modernization program for a Department of War (DoW) organization, accountable for the target-state data model, master data governance strategy, legacy data migration architecture, and the analytics and data fabric layer that serves reporting and decision support across the enterprise. This position leads the program’s data architecture and master data team, establishing the authoritative data standards that allow financial, logistics, asset, and organizational information to reconcile without manual intervention. The Lead Data Architect is accountable for data quality entering the target system at each deployment wave and for the lineage and provenance evidence required to sustain financial audit.
Note: This position is contingent upon contract award.
Essential Functions and Responsibilities:
Owns the target-state enterprise data architecture, including conceptual, logical, and physical data models for financial, organizational, asset, material, and business partner master data domains.
Leads and develops the data architecture and master data team, including master data management and master data governance practitioners; allocates work and owns team performance and capability development.
Establishes the master data governance operating model, including domain ownership, stewardship assignment, approval workflows, data quality rules, and measurable data quality standards.
Owns the legacy data migration architecture, including source system discovery and profiling, extraction approach, transformation and mapping governance, staging design, and source-to-target lineage.
Defines the data validation, reconciliation, and acceptance criteria applied at each mock conversion cycle and at production cutover, and reports readiness against those criteria at milestone gates.
Designs the organizational data structures that align financial objects to the customer’s force structure hierarchy, enabling consistent translation between logistics, asset, and financial reporting views.
Governs the analytics and data fabric architecture, including ingestion, layered curation, semantic modeling, and the governed consumption of financial data by downstream enterprise analytics platforms.
Establishes reconciliation architecture between the financial system of record, subledgers, external interfaces, and the reporting layer, minimizing manual reconciliation effort.
Defines data retention, archiving, classification, and protection standards consistent with federal records management and controlled unclassified information handling requirements.
Partners with the solution and cloud architecture functions to ensure data designs are performant, secure, authorizable, and sustainable.