Data Advisor - SME

Posted 7 Days Ago
Be an Early Applicant
Quantico, VA, USA
In-Office
180K-200K Annually
Expert/Leader
Aerospace • Information Technology • Professional Services • Defense
The Role
Advise USMC Capability Development and Integration leadership on AI, machine learning, data governance, and advanced analytics. Identify use cases, assess data and architecture feasibility, develop decision briefs and recommendations, guide AI governance and lifecycle management, and support requirements, concepts of employment, doctrine, and capability planning. Coordinate with technical and operational stakeholders to ensure solutions align with Department of War and USMC policies, data standards, and enterprise architectures.
Summary Generated by Built In
Overview

AMERICAN SYSTEMS is an employee-owned federal government contractor supporting national priority programs through our strategic solutions in the areas of Information Technology, Engineering & Analysis, Test & Evaluation, and Training.

Responsibilities

Position Description:The AI/Data Advisor – Sr provides senior-level advisory support to Capability Development & Integration (CD&I) leadership on the integration, employment, and governance of Artificial Intelligence (AI), machine learning (ML), and advanced analytics across USMC capability development activities. This position serves as a strategic advisor, translating operational and capability development requirements into data- and AI-enabled solutions, and aligning AI/ML efforts with USMC/DoW policies, data standards, and enterprise architectures.


Responsibilities:

  • Advise CD&I leadership on AI/ML concepts, capabilities, and implementation strategies in support of USMC force development, experimentation, and requirements generation.
  • Identify, prioritize, and frame AI/ML use cases, including expected outcomes, data needs, and integration risks.
  • Assess existing data sources, data quality, and data architectures to determine feasibility of AI/ML and advanced analytics solutions.
  • Develop and present decision-quality briefs, white papers, and recommendations to senior stakeholders, to include trade-space analysis and courses of action (COAs).
  • Coordinate with data engineers, data scientists, and functional/operational stakeholders to ensure AI/ML solutions are technically feasible, operationally relevant, and aligned with USMC data strategy.
  • Support the development of requirements, concepts of employment (CONEMPs), and doctrine, organization, training, materiel, leadership, personnel, facilities, and policy (DOTMLPF-P) products that incorporate AI/ML capabilities.
  • Provide technical and policy guidance on AI governance, model lifecycle management, ethical AI, and compliance with DoW AI and data directives.
  • Participate in working groups, Integrated Product Teams (IPTs), and experimentation events to represent CD&I AI/data interests.
Qualifications

Required Qualifications:

  • Bachelor’s degree in Computer Science, Data Science, Engineering, Operations Research, Information Systems, or related field.
  • 10+ years of relevant experience in data analytics, AI/ML, or related disciplines, with at least 5 years supporting DoW or USMC organizations.
  • Demonstrated experience advising senior leadership on AI/ML and data-driven decision-making.
  • Strong understanding of AI/ML concepts, data architectures, and analytic methods (e.g., supervised/unsupervised learning, predictive analytics, optimization).
  • Familiarity with DoW/USMC data strategies, JCIDS, requirements development, and capability-based planning.
  • Ability to synthesize complex technical issues into clear, concise, decision-ready information.
  • Active TS/SCI Clearance

Desired Qualifications:

  • Master’s degree in a related field.
  • Experience with USMC CD&I, MCCDC, or related HQMC/MEF staff organizations.
  • Exposure to AI/ML tooling and platforms (e.g., Python-based ML stacks, cloud-based AI services) sufficient to understand implementation trade-offs.
Pay Transparency StatementAMERICAN SYSTEMS is committed to pay transparency for our applicants and employee-owners. The salary range for this position is USD $180,000.00/Yr. - USD $200,000/Yr. Actual compensation will be determined based on several factors permitted by law. AMERICAN SYSTEMS provides for the welfare of its employees and their dependents through a comprehensive benefits program by offering healthcare benefits, paid leave, retirement plans, insurance programs, and education and training assistance. EEO StatementEEO Race/Sex/Disability Status/Veteran Status

Skills Required

  • Bachelor's degree in Computer Science, Data Science, Engineering, Operations Research, Information Systems, or a related field
  • 10+ years of relevant experience in data analytics, AI/ML, or related disciplines
  • At least 5 years supporting Department of War or USMC organizations
  • Experience advising senior leadership on AI/ML and data-driven decision-making
  • Strong understanding of AI/ML concepts, data architectures, and analytic methods
  • Familiarity with Department of War/USMC data strategies, JCIDS, requirements development, and capability-based planning
  • Ability to synthesize complex technical issues into clear, concise, decision-ready information
  • Active TS/SCI clearance
  • Master's degree in a related field
  • Experience with USMC CD&I, MCCDC, or related HQMC/MEF staff organizations
  • Exposure to Python-based ML stacks and cloud-based AI services
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The Company
2,235 Employees
Year Founded: 1975

What We Do

AMERICAN SYSTEMS is an employee-owned government services contractor that delivers professional, technical, information technology, engineering, analysis, testing, evaluation, and training solutions for complex national-priority programs. Based in McLean, Virginia, the company supports federal customers—particularly defense and other Department of Defense missions—with mission-essential and information engineering, digital engineering, systems integration, cybersecurity, cloud, data, and lifecycle IT services across critical public-sector environments.

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