Modeling and Simulation (M&S) Data Manager

Qualis is seeking an experienced Modeling and Simulation (M&S) Data Manager to oversee the architecture, governance, and security of simulation-derived datasets within our defense programs. In this role, you will lead data administration for high-fidelity synthetic environments, digital twins, and predictive military models.

Your primary focus will be ensuring that all M&S data structures comply with DoD enterprise standards, remain highly secure, and seamlessly interface with High-Performance Computing (HPC) environments to support joint-force warfighter readiness and system testing.

Essential Duties

Implement and manage simulation data architecture aligned with Pentagon VAULTIS guidelines, ensuring datasets are Visible, Accessible, Understandable, Linked, Trustworthy, Interoperable, and Secure. VV&A Data Pedigree: Document, archive, and manage the data pedigree required for strict Verification, Validation, and Accreditation (VV&A) under DoDI 5000.

1. Classified Data Lifecycle: Oversee data extraction, transformation, and loading (ETL) pipelines for massive synthetic and live-virtual-constructive (LVC) environments across secure enclaves. Database & Repository Administration: Build and optimize relational and non-relational database structures (e.g., PostgreSQL, SQL Server) to host complex mission profiles, threat environments, and sensor simulations.

Cross-Agency Collaboration: Partner with defense engineers, data scientists, and military stakeholders to establish clean, automated data pipelines for downstream analytical tools. Required Qualifications Security Clearance & Citizenship: Must possess an active U.S. Secret Security Clearance and maintain eligibility for upgrade.

U.S. Citizenship is mandatory.

Education

Bachelor’s degree in Computer Science, Data Science, Information Technology, Engineering, or a related quantitative field. Experience: Minimum of 3 to 5 years of experience managing technical data structures, database architecture, or data engineering within a federal, defense, or highly regulated industrial environment.

Core Technical Proficiency: Advanced proficiency in SQL database administration and query design. Proven experience using Python or R for data cleaning, curation, and pipeline automation. Data Architecture: Strong understanding of Entity-Relationship (ER) mapping, metadata management, and physical storage optimization for large datasets.

Preferred Qualifications

DoD M&S Standards: Direct experience with military distributed simulation protocols, including HLA (High Level Architecture), DIS (Distributed Interactive Simulation), and TENA (Test and Training Enabling Architecture). Cybersecurity Baseline: Possession of a DoD 8570/8140 IAT Level II certification (such as CompTIA Security+ CE) or higher.

Defense M&S Systems: Familiarity with standard DoD simulation ecosystems (e.g., OneSAF, AFSIM, Joint Simulation System (JCS), or MATLAB/Simulink). Data Modeling Software: Mastery of enterprise data modeling platforms like SAP Power. Designer, erwin Data Modeler, or Microsoft Visio. Configuration Management: Robust experience in version-controlling data variations, baselines, and simulation builds via Git or similar defense configuration tools.

Professional Credentials: Certifications such as Certified Data Management Professional (CDMP) or platform-specific cloud/database credentials. Qualis LLC has a comprehensive benefits package based on employment type, location, and applicable agreements that includes: Health, dental, and vision insurance 401(k) match Paid time off and Holidays Paid time off and Holidays Educational, professional development and certification reimbursement.

Tax-saving options Disability and Life Insurance Qualis LLC is committed to hiring and retaining a diverse and talented workforce who can contribute to the mission and vision of the Company. Our employees are our greatest asset, and we promote a positive work environment, teamwork, professional growth, innovation, community involvement, flexible scheduling and a family-friendly work environment.