Description
Objective: The Defense Logistics Agency (DLA) seeks to enhance logistics readiness, decision advantage, and enterprise efficiency in alignment with the DLA Strategic Plan’s priorities of mission readiness, supply chain resilience, data-driven decision-making, and enterprise integration. DLA operates within a complex, hybrid, and multi-cloud environment that includes AWS GovCloud-hosted process mining capabilities such as Celonis, Google Cloud-based enterprise data fabric services, Oracle Cloud enterprise applications (including AMPS), private Operational Technology (OT) environments secured under Zero Trust principles, and core business systems such as SAP S/4HANA. Enterprise IT operations and governance are enabled through ServiceNow, including IT Service Management (ITSM) and Strategic Portfolio Management (SPM), with additional automation supported by UiPath. In alignment with the DLA J6 CIO Digital Strategy and “Connected IT” campaign, which prioritizes integration of existing capabilities, elimination of duplicative IT investments, and use of accredited enterprise services, DLA seeks a lightweight, federated platform implemented as an API-driven capability layer that connects and operationalizes current systems rather than replacing them. The objective is to enable an Enterprise Digital Thread with embedded, mission-aware decision intelligence that correlates process, cyber, and enterprise data to provide predictive and prescriptive, human-in-the-loop decision support. This capability will improve decision speed, enhance mission impact awareness, strengthen supply chain resilience, and maximize return on investment (ROI) across DLA’s enterprise IT portfolio while operating within DoW IL4/IL5 and FedRAMP authorized environments. Proposed efforts shall demonstrate technical feasibility at Technology Readiness Level (TRL) 6-9, with emphasis on interoperability, scalability, and secure integration across federated environments. Description: The Defense Logistics Agency (DLA) seeks to enhance logistics readiness, decision advantage, and enterprise efficiency in alignment with the DLA Strategic Plan’s priorities of mission readiness, supply chain resilience, data-driven decision-making, and enterprise integration. DLA operates within a complex, hybrid, and multi-cloud environment that includes AWS GovCloud-hosted process mining capabilities such as Celonis, Google Cloud-based enterprise data fabric services, Oracle Cloud enterprise applications (including AMPS), private Operational Technology (OT) environments secured under Zero Trust principles, and core business systems such as SAP S/4HANA. Enterprise IT operations and governance are enabled through ServiceNow, including IT Service Management (ITSM) and Strategic Portfolio Management (SPM), with additional automation supported by UiPath. In alignment with the DLA J6 CIO Digital Strategy and “Connected IT” campaign, which prioritizes integration of existing capabilities, elimination of duplicative IT investments, and use of accredited enterprise services, DLA seeks a lightweight, federated platform implemented as an API-driven capability layer that connects and operationalizes current systems rather than replacing them. The objective is to enable an Enterprise Digital Thread with embedded, mission-aware decision intelligence that correlates process, cyber, and enterprise data to provide predictive and prescriptive, human-in-the-loop decision support. This capability will improve decision speed, enhance mission impact awareness, strengthen supply chain resilience, and maximize return on investment (ROI) across DLA’s enterprise IT portfolio while operating within DoW IL4/IL5 and FedRAMP authorized environments. Proposed efforts shall demonstrate technical feasibility at Technology Readiness Level (TRL) 6-9, with emphasis on interoperability, scalability, and secure integration across federated environments. Keywords: Enterprise Digital Thread; Decision Intelligence; Connected IT; DLA Strategic Plan; Data Fabric; Zero Trust; Multi-Cloud Integration; Logistics; AI/ML; Process Mining; Mission Awareness; API Integration; Federated Architecture CMMC Level: Level 2 (Self)