Knowledge Engineer

OverviewThe Knowledge Engineer (KE) is embedded within a USAFRICOM Directorate to support CDAOs mission of enabling digital modernization and accelerating AI/ML adoption across the AFRICOM enterprise. KEs document, digitize, and optimize command workflows; design and standardize semantic ontologies; and configure outofthebox Microsoft 365/DEOS capabilities to improve data accessibility, operational efficiency, and decision advantage.Key ResponsibilitiesProcess Intelligence & Workflow Optimization (30%) Map, baseline, and digitize existing command workflows and Joint Staff standards. Identify bottlenecks using process intelligence methods and develop versioned workflow diagrams. Transition manual processes into automated or semiautomated digital workflows using Agile implementation practices.Ontology Development & Data Standardization (30%) Conduct semantic orchestration: design and maintain minimum viable ontologies in standard formats (OWL, RDF, SKOS). Ensure documentation, models, and, (mandatory) DEOS contract requirement; no substitutions allowed, 10+ years of experience in knowledge management, process engineering, or closely related fields. Experience leading crossfunctional teams in DoW or IC environments. Handson configuration skills in Microsoft 365: SharePoint administration, Power Automate workflows, and Teams governance (must be able to build, not only advise conceptually). Experience within U.S. military headquarters or Joint Staff directorates; understanding battle rhythm, command processes, and operational documentation. Demonstrated ability to lead change and facilitate adoption among senior stakeholders (O6/SES). Practical experience with ontologies, metadata standards, and workflow digitization. U.S. Citizenship; eligible for SOFA status and required country clearances. DOW Security Clearance: TS/SCIDesired Qualifications Experience with Power Apps or Power BI for dashboards and decision support. Familiarity with CDAO/CKDP frameworks, DEOS enterprise

related data products adhere to metadata standards for seamless integration into MSS and WDP. Prepare ontologies and models so AI agents and LLMs can access authoritative, secure data for decision support tools, dashboards, and predictive analytics.Education, Training & System Adoption (30%) Train Knowledge Managers and functional users on metadata practices, knowledge capture methods, and modern collaboration/data platforms (Microsoft 365, Databricks, Palantir). Promote data literacy and adoption of new digital workflows across Directorates.Contractor Oversight & Agile Work Package Management (10%) Review technical work packages for accuracy, completeness, and adherence to governance standards. Evaluate scope and dataflow functionality through digital capture tools (e.g., JIRA, Slack or similar) and ensure delivery of Minimum Viable Product (MVP) increments aligned with stakeholder needs. Note: Percentages may shift with mission requirementsRequired Qualifications, Bachelors Degree, services, and DoW records management. Background in knowledge engineering frameworks, semantic technologies, or content modeling. Experience supporting data ingestion, tagging, and interoperability across MSS, WDP, or similar analytical platforms. GDIT IS YOUR PLACEAt GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI-powered career tool that identifies career steps and learning opportunities Support: An internal mobility team focused on helping you achieve your career goals Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off Community: Award-winning culture of innovation and a military-friendly workplaceOWN YOUR OPPORTUNITY Explore an enterprise IT career at GDIT and youll find endless opportunities to grow alongside colleagues who share your desire to drive operations forward. #DefenseOCONUS