ManTech International

Logistics Analyst AI Coordinator

ManTech International$80K — $110K *
Transportation
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree with 7+ years in government logistics, supply chain management, or technical program management; 10 years' experience without a degree is acceptable.
  • Strong data and AI literacy, understanding machine learning algorithms and edge computing.
  • Experience in logistics and information capabilities, with insight into Marine Corps tactical operations.
  • Proficient in data visualization tools and managing AI/ML concepts within secure environments.
  • Familiar with DoD and DoW guidelines related to Responsible AI and data governance standards.
  • Excellent communication skills for conveying technical concepts to non-technical stakeholders.

Responsibilities

  • Identify and integrate Machine Learning models for supply chain forecasting and inventory optimization.
  • Integrate AI-driven tools and analytics into logistics scenarios and live-force experiments.
  • Design and maintain frameworks for capturing and sharing logistics intelligence across the enterprise.
  • Ensure AI models comply with DoD policies on Responsible AI and human oversight requirements.
  • Draft reports and briefs for MCWL leadership regarding AI operational effectiveness.
  • Act as liaison between MCWL and external AI stakeholders including military and academic partners.
  • Manage the Logistics AI technology portfolio, tracking project milestones and funding.

Benefits

  • Health, dental, and vision insurance.
  • Retirement savings plan with company match.
  • Professional development opportunities.
  • Flexible work hours and potential for remote work.
  • Annual leave and paid holidays.
Full Job Description
MANTECH seeks a motivated, career and customer-oriented LOGISTICS ASSISTANT AI COORDINATOR to join our team in QUANTICO, VA.

This role supports the Marine Corps Warfighting Laboratory (MCWL), Science and Technology (S&T) Division, Logistics Combat Element (LCE) by integrating, assessing, and operationalizing Artificial Intelligence and Machine Learning (AI/ML) capabilities.

Responsibilities include but are not limited to:
  • Identify and integrate Machine Learning (ML) models to forecast supply chain disruptions, optimize inventory levels, and predict maintenance requirements.
  • Integrate AI-driven decision support tools, predictive analytics, and edge-computing models into MCWL logistics scenarios, use cases, and live-force experiments.
  • Design, implement, and maintain comprehensive IM/KM frameworks and standardized data ingestion processes to capture, organize, and share logistics intelligence across the enterprise.
  • Ensure all tested AI models and algorithms comply with DoD and DoW policies on Responsible AI, including human-in-the-loop requirements for lethal decision-making.
  • Draft point papers, briefs, after-action reports, and executive summaries for MCWL leadership regarding the status and operational effectiveness of AI capabilities.
  • Act as a liaison between MCWL and external AI stakeholders, including the USMC Center for Digital Transformation, Office of Naval Research (ONR), DARPA, academic partners, and industry vendors.
  • Assist in the management of the Logistics AI technology portfolio, tracking milestones, funding, and transition pathways for successful S&T projects.


Minimum Qualifications:
  • Bachelor's degree and at least 7 years of progressively responsible experience in government logistics, supply chain management, or technical program management. A total of 10 years' experience without a degree.
  • Demonstrated data and AI literacy, including a foundational understanding of machine learning algorithms, data engineering pipelines, artificial neural networks, and edge computing.
  • Proven experience in logistics, information-related capabilities, communications, or cyber with a strong understanding of Marine Corps tactical operations and command and control (C2) systems.
  • Proficiency in using data visualization tools, managing AI/ML concepts, and operating LLM algorithms within secure environments (e.g., IL5).
  • Thorough understanding of DoD and DoW ethical guidelines regarding Responsible AI (RAI) deployment, data governance standards, and system bias evaluations.
  • Proven ability to communicate complex technical concepts to non-technical commanders, stakeholders, and cross-functional teams across joint, interagency, and academic lines of effort.


Preferred Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Engineering, or a related technical discipline.
  • Experience with DoD acquisitions or the Joint Capabilities Integration and Development System (JCIDS) process.
  • Advanced technical background in evaluating systems for human-machine teaming safety and compliance with lethal autonomous weapons policies.


Clearance Requirements:

Must have an active Top Secret clearance with the ability to obtain and maintain a TS/SCI clearance.

Physical Requirements:
  • Must be able to remain in a stationary position 50% of the time.
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.

About ManTech International

ManTech International Corporation is an American defense contracting firm that was founded in 1968. The company provides cybersecurity, intelligence, and defense solutions to the United States Government. ManTech has over 9,000 employees and operates in 40 countries worldwide. The company's services include software development, systems engineering, and enterprise IT solutions. ManTech has been awarded numerous contracts by the U.S. Department of Defense and other government agencies.
Learn more about ManTech International
Size
9,800 employees
Market Cap
$3.7 billion
Industry
Net Income
$120.5 million
Founded
1968
5 Year Trend
+9.8%
Revenue
$2.5 billion
NASDAQ

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