Data Engineer - Clearance Required with Security Clearance

Overview LMI is seeking a skilled Data Management Engineer to support Army logistics data management through enterprise data governance, data quality, data modeling, metadata management, and executive decision support. Successfully demonstrate competency in project execution, client delivery, critical thinking, and relationship management while upholding the highest standard of ethical behavior. This position is part of the team supporting the Army HQDA G-4 ELISS program, delivering innovative solutions that enable critical Army logistics and sustainment missions.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively.

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities
* Support Army logistics enterprise data management through data governance, data quality, metadata management, data modeling, and strategic initiatives.
* Conduct research and analysis to evaluate enterprise data, business processes, data quality, and emerging issues affecting Army logistics operations.
* Develop and maintain enterprise data models, business rules, metadata, and documentation supporting Army logistics information requirements.
* Support data governance activities by implementing standards, policies, procedures, and best practices that improve enterprise data management.
* Analyze, validate, and monitor data quality to identify inconsistencies, recommend corrective actions, and improve data integrity across enterprise systems.
* Collect, consolidate, validate, and analyze information from multiple enterprise data sources to support executive decision making and organizational priorities.
* Develop executive-ready briefings, reports, decision papers, presentations, dashboards, and analytical products supporting Army logistics leadership.
* Coordinate activities and recommendations across multiple Army organizations and stakeholders to improve enterprise data management and governance.
* Facilitate meetings, working groups, and collaborative planning sessions while documenting decisions and tracking follow-up actions.
* Support enterprise data stewardship, information management, reporting, and modernization initiatives that improve organizational performance.
* Develop performance metrics, dashboards, and analytical products to support leadership visibility and informed decision making.
* Support business development activities, including market research, proposal support, solution development, and client engagement, as required.
* Perform additional consulting, analytical, and project support activities as assigned. Qualifications
* Bachelor's degree in Information Systems, Computer Science, Data Analytics, Information Management, Business, Logistics, Engineering, Operations Research, or a related discipline.
* Three to ten or more years of professional experience supporting Army logistics, enterprise data management, data governance, data quality, data modeling, DoD, or other complex Government organizations.
* Experience supporting enterprise data governance, metadata management, data modeling, master data management, or data quality initiatives.
* Strong analytical skills, including proficiency with Microsoft Office Suite and experience using databases, reporting tools, data visualization platforms, and collaboration applications.
* Demonstrated ability to gather, analyze, validate, and synthesize information from multiple enterprise data sources into concise, actionable recommendations.
* Excellent written and verbal communication skills,…