LMI is a digital solutions provider focused on enhancing government impact through innovative technology. The Strategic Data Engineer will transform complex technical data into actionable insights for senior leadership, build automated data flows, and communicate investment trade-offs to high-level stakeholders.
Responsibilities:
- Design and implement automated workflows to facilitate cross-system data flow
- Identify and visualize critical interdependencies between hardware components and software systems across the enterprise
- Support the integration of data across programs and the software acquisition pathway to monitor real-time program health
- Analyze large datasets of requirements across multiple programs to pinpoint duplications
- Drive consolidation to eliminate waste and streamline operations
- Develop and maintain data models that allow for "what-if" scenario planning and enterprise-level ontologies to ensure consistent data definitions across various programs
- Assess how changes in one program impact the broader system-of-systems portfolio
- Utilize data-driven "downtracing" methods to refine solution architectures and ensure every requirement is traceable from high-level mission goals down to technical implementation
- Translate complex data models into compelling narratives, dashboards, and briefings
- Clearly communicate project requirements, resource gaps, and the impact of various investment trade-offs to senior Army leadership
Requirements:
- 8+ years of experience in data engineering or architecture, or systems engineering, preferably within a Department of War or Army environment
- Advanced experience with data integration tools and languages (e.g., Python, SQL, or specialized MBSE tools like Cameo or MagicDraw)
- Proven ability to perform complex data mapping and identify interdependencies in a 'system-of-systems' architecture
- Exceptional ability to present technical data to non-technical executive audiences, focusing on resource allocation and decision-making
- Bachelor degree in Engineering, Data Science, Computer Science, or a related technical field
- Active INCOSE (ASEP/CSEP), OCSMP model certification, or something related
- Understanding of human-centered design and UIUX best practices
- Familiarity with Army acquisition processes, CPE models, the Army's modernization priorities, and implementing data governance standards to ensure interoperability
- Experience building data bridges or integrations between System Modeling tools (e.g., Cameo or Capella/Arcadia) and Analytics platforms (e.g., Vantage)
- Active Secret or Top Secret clearance preferred
- Experience with digital engineering frameworks and requirements management tools (e.g., DOORS)
- Knowledge of Modular Open Systems Approach (MOSA) standards to ensure data portability and system interoperability