
201 - 500 employees
Founded 2016
💼 Consulting
🏢 Enterprise
📦 Logistics
Consulting • Enterprise • Logistics
C5MI is a supply‑chain transformation and systems implementation firm that operationalizes SAP enterprise systems for real‑time execution. The company focuses on implementing and sustaining SAP S/4HANA, SAP EWM (Extended Warehouse Management), and SAP TM (Transportation Management), and builds end‑to‑end solutions that connect digital core systems to Industry 4. 0 technologies (digital manufacturing, AMRs/AGVs, RFID, digital twins) and AI/automation to improve visibility, adaptability, predictability and autonomy across warehouses and distribution networks. C5MI offers program and project management, an Automation Center of Excellence, federal contract support, and cloud/partner integrations (Google Vertex AI, UiPath AI Center, Zebra RFID, Kinexon, etc. ) to drive supply chain resilience, operational clarity, and execution at scale.
🔥 13 hours ago
🇺🇸 United States – Remote
💵 $172.3k - $187.1k / year
⏰ Full Time
🟠 Senior
🚰 Data Engineer
👻 Ghost score 9%
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201 - 500 employees
Founded 2016
💼 Consulting
🏢 Enterprise
📦 Logistics
Consulting • Enterprise • Logistics
C5MI is a supply‑chain transformation and systems implementation firm that operationalizes SAP enterprise systems for real‑time execution. The company focuses on implementing and sustaining SAP S/4HANA, SAP EWM (Extended Warehouse Management), and SAP TM (Transportation Management), and builds end‑to‑end solutions that connect digital core systems to Industry 4. 0 technologies (digital manufacturing, AMRs/AGVs, RFID, digital twins) and AI/automation to improve visibility, adaptability, predictability and autonomy across warehouses and distribution networks. C5MI offers program and project management, an Automation Center of Excellence, federal contract support, and cloud/partner integrations (Google Vertex AI, UiPath AI Center, Zebra RFID, Kinexon, etc. ) to drive supply chain resilience, operational clarity, and execution at scale.
• Own the target-state enterprise data architecture and conceptual, logical, and physical data models for financial, organizational, asset, material, and business partner master data domains • Lead and develop the data architecture and master data team; allocate work and own team performance and capability development • Establish the master data governance operating model, including domain ownership, stewardship assignment, approval workflows, data quality rules, and measurable data quality standards • Own legacy data migration architecture, including source discovery and profiling, extraction, transformation and mapping governance, staging design, and source-to-target lineage • Define data validation, reconciliation, and acceptance criteria for mock conversion cycles and production cutover; report readiness at milestone gates • Design organizational data structures aligning financial objects to the customer’s force structure hierarchy • Govern analytics and data fabric architecture, including ingestion, layered curation, semantic modeling, and governed downstream consumption • Establish reconciliation architecture between the financial system of record, subledgers, external interfaces, and reporting layer • Define data retention, archiving, classification, and protection standards for federal records and controlled unclassified information • Partner with solution and cloud architecture functions on performant, secure, authorizable, and sustainable data designs • Present and defend data architecture and migration readiness at design reviews, readiness reviews, and cutover decisions • Advise program leadership on migration complexity, data quality exposure, and schedule implications • Mentor data practitioners and raise modeling, governance, and stewardship maturity • Perform people-leader functions including coaching, evaluations, development planning, workforce planning, compliance, and stakeholder alignment • Adhere to company policies, quality assurance activities, information security policies, and perform other assigned tasks
• Bachelor’s degree in a related field or equivalent experience; 8-12 years of relevant experience and 3-5 years of people leadership experience with a Bachelor’s degree, or 10-14 years of relevant experience and 5-8 years of people leadership experience without a degree • 8+ years of enterprise data architecture, data modeling, or data management experience on large-scale system implementations • Demonstrated experience owning data architecture for at least one full lifecycle ERP implementation, including legacy data migration to a target platform • Expertise in conceptual, logical, and physical data modeling, canonical data models, data lineage, and data quality management • Experience establishing a master data governance operating model, including stewardship roles, data quality rules, and governance workflow • Hands-on experience with enterprise data migration tooling and methods, including extraction, profiling, cleansing, transformation, load, and reconciliation • Experience designing analytics or data platform architectures, including layered curation and semantic modeling for enterprise reporting • Experience leading a data team, including work allocation, quality review, and performance management • Secret security clearance required: must hold an active Secret clearance or be able to obtain and maintain one prior to assignment; requires U.S. citizenship • Advanced certifications valued • Experience with SAP Master Data Governance and SAP data migration tooling, including the SAP S/4HANA migration cockpit and SAP Data Services • Industry-recognized data management, data architecture, or SAP certification; relevant certifications include CDMP or SAP Master Data Governance • Experience supporting federal ERP modernization programs, Department of War (DoW) SAP environments, or other defense business systems acquired under DoDI 5000.75 • Familiarity with Department of War data strategy principles and authoritative data source designation • Familiarity with federal financial audit drivers, including FIAR methodology, DoD 7000.14-R, and FFMIA • Experience with cloud data platform technologies supporting large-scale analytical workloads • Ability to travel up to 50% to client sites
• Medical coverage • Dental coverage • Vision coverage • Life insurance coverage • Long-term disability coverage • 401(k) plan • Bonus opportunities • Paid holidays • Paid time off • Personal development support
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