Information Operations Policy SME

Peraton

. Support DAMO-Strategic Operations / Information Operations in developing Army policy and directives for implementing and using AI across the Army .

Posted 10/13/2026full-timeUnited StatesSeniorLead💰 $190,000 - $304,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing Army policies for AI, ML, and data science, with a focus on risk mitigation and stakeholder requirements. Proficient in translating complex technical concepts for executive-level decision-making and leading diverse teams in dynamic environments.

Highest-signal resume keywords

AI Policy DevelopmentMachine Learning ImplementationData Analytics ExpertiseRisk Mitigation StrategiesExecutive-Level Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning AlgorithmsNeural NetworksGenerative Adversarial NetworksData ManagementStatistical AnalysisFeature SelectionHyper-Optimization TechniquesUnsupervised LearningSupervised LearningDeep Learning Architectures

Soft Skills

Team LeadershipComplex Problem SolvingEffective CommunicationAdaptabilityStrategic Planning

Tools & Technologies

PythonRNumPyPandasKerasTensorFlowPyTorch

Certifications & Qualifications

Active TS ClearanceAbility to Obtain/Maintain SCI

Industry Keywords

Information OperationsPublic AffairsPsychological OperationsData ScienceDoD ProjectsMisinformationDisinformationOPSEC

Tech Stack

Tools & technologies

KerasNumpyPandasPythonPyTorchTensorflowTypeScript

About the role

Key responsibilities & impact

Support DAMO-Strategic Operations / Information Operations in developing Army policy and directives for implementing and using AI across the Army
Build understanding of how AI and ML can impact information operations
Facilitate codification of guardrails to limit AI/ML impacts on Army operations
Champion policy and resourcing solutions for Army-wide AI, ML, and data science stakeholder requirements
Assist in developing policies and understanding applications of AI, ML, and NLP to improve information-based analysis and decision-making options
Understand impacts of machine-learning information, algorithm analysis, and data clustering on Army operations and develop risk-mitigation guardrails
Identify how AI and ML could manipulate outcomes in information operations and recommend ways to prevent or limit susceptibility
Drive AI/ML/DS stakeholder requirements through the Army PPBE process and develop resourcing and policy solutions
Prepare briefings, information/decision papers, policy documents, staffing packages, EXORDs, memorandums, SITREPs, and official multimedia correspondence
Assist DAMO-SOI in responding to inquiries from Congress and other higher authorities
Participate in DoD, Joint, and Army projects, studies, and working groups covering Misinformation/Disinformation, Publicly Available Information, Technical Effects, OPSEC, and Data for influence
Provide SME-level expertise on structured and unstructured data, data management, and data analytics
Gather known risks and help discover unknown risks from sophisticated AI applications using advanced unstructured and semi-structured data analysis

Requirements

What you’ll need

Minimum 14 years of experience with a master's degree, or minimum 10 years of experience with a PhD
Master's degree from an accredited college or university in statistics, mathematics, computer science, or another quantitative field
Experience with Service IO implementation and Cyberspace, Public Affairs and Psychological Operations (MISO) execution
Experience implementing and updating machine learning algorithms and neural networks in production settings
Experience with Generative Adversarial Networks (GANs) for synthetic image, video, and voice generation
Ability to identify and deploy novel solutions supporting Army IO stakeholder requirements
Familiarity with unsupervised, semi-supervised, and supervised learning algorithms and appropriate use cases
Familiarity with feature selection and common hyper-optimization techniques with different AI models
Ability to work and lead a diverse team in a fast-paced, constantly changing environment
Ability to translate complex technical problem sets for executive-level decision-making
Ability to write, brief, and plan for a DoD GO/SES-level audience
U.S. Citizenship required
Active TS clearance with ability to obtain/maintain SCI
Desired: four years of experience creating machine- and deep-learning applications
Desired: knowledge of deep-learning architectures and high-level experience with Python and R
Desired: strong skills in Python NumPy, Pandas, and Keras; TensorFlow or PyTorch is a plus

Benefits

Comp & perks

Eligible for overtime, shift differential, and a discretionary bonus in addition to base pay
Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law