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# Pre Award: USAF MA- Journeyman Data Analyst- Pentagon, VA

- **Company:** Barbaricum Llc
- **Location:** Arlington, VA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cyber Security, Databases, Apache Maven, Risk Management Information Systems
- **Published:** July 15, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3319644739&tx=FK6966FFJ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Clearance: Active DoD TS/SCI Clearance required.
 * Education: Bachelor's Degree required; Master's Degree Preferred.
 * Experience: Minimum of three (3) years of experience with DoW, specifically dealing with critical infrastructure, readiness, or operations.
 * Certifications: Palantir AI Certification preferred.
 * Passport & Travel: Valid US passport; ability to travel CONUS or OCONUS approximately 25% of the time.
 * Communication: Excellent oral and written communication skills with people at all levels. Proven ability to coordinate with inter-agency and inter-service partners.
 * Core Skills: Strong problem-solving skills, deep understanding of risk management principles/methodologies, and a proven ability to take initiative in a team environment to meet tight timelines., * Staff Experience: Experience working on large G, J, or A staffs. Candidates with experience working at MAJCOMs or NAFs in requirements or plans and programs are highly desired.
 * Domain Expertise: Relevant experience in a Mission Assurance related discipline including Force Protection, Civil Engineering, Emergency Management, Intelligence, Communications, Airfield Operations, or Cybersecurity.
 * Systems Familiarity: Prior experience with Mission Assurance databases, Mission Assurance Risk Management System (MARMS) applications, or familiarity with Maven, Envision, and Palantir Foundry Platforms.

## Description

* Interface directly with senior leaders and capability providers to deliver quantitative, data-driven clarity on Mission Assurance (MA) risks and strategic operational readiness.
 * Formulate rigorous tasking packages and official staffing materials backed by predictive analytics to justify resource allocations across military command channels.
 * Design and deploy decision-support products, automated data workflows, and monitoring views inside secure enterprise platforms like Palantir Foundry and Advana.
 * Model and mathematically forecast multiple Courses of Action (COAs) to provide commanders with clear success probabilities and asset degradation metrics.
 * Construct algorithmic ROI decision models to evaluate the financial and operational trade-offs of proposed security enhancements and infrastructure upgrades.
 * Quantify the "cost of inaction" by mapping threat probabilities against asset replacement costs and potential mission failure impacts.
 * Synthesize complex data outputs into executive-level visual dashboards, briefs, and information papers tailored for general officer consumption.
 * Conduct data-driven risk-mitigation analysis to identify critical structural vulnerabilities and single points of failure across strategic military networks.
 * Leverage AI/ML methodologies to extract actionable risk indicators from unstructured datasets and historical assessment documentation.
 * Bridge the gap between capability providers and data engineers to ensure that pipeline data architecture accurately maps to real-world mission capabilities.


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