Senior Data Analyst - Generative AI Platform Power User

Peraton

Herndon, USonsite$104k-$166k/yrPosted Jul 23, 2026
Posting intelligenceActively listedReposted 3×, possible evergreen/ghost posting

About the role

About Peraton

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

About The Role

Peraton Labs is seeking an All-Source Analyst to serve as a power user and mission-facing operator of a customer deployed Generative AI Platform. This role sits at the intersection of analytical tradecraft, operational workflow execution, and hands-on use of AI-enabled tools to produce timely, high-quality analytical products and mission insights.

This individual will leverage the full breadth of the Generative AI Platform capabilities - including agentic workflows, natural language interfaces, data retrieval, structured analysis, and automated reporting - to address real-world analytical questions, support decision-makers, and help demonstrate the operational value of AI-augmented analysis. The ideal candidate brings strong all-source analytical skills, comfort working with diverse data types and sources, and a willingness to push the boundaries of what AI-enabled analytical workflows can deliver.

As a power user, you will also play a critical role in shaping platform development by providing direct feedback on usability, capability gaps, workflow effectiveness, and mission relevance - helping ensure that the platform evolves in ways that genuinely improve analytical outcomes.

Key Responsibilities:

Conduct all-source analysis using a customer deployed Generative AI Platform, leveraging agentic workflows, structured retrieval, data fusion, and AI-assisted analytical tools to produce mission-relevant assessments and products

Serve as a power user of the Generative AI Platform - deeply learning its capabilities, identifying optimal workflows, and pushing the boundaries of AI-augmented analytical tradecraft

Translate complex analytical questions into structured platform workflows, leveraging natural language interfaces, agent configurations, data queries, and multi-step analytical processes

Synthesize information from diverse structured and unstructured sources to produce clear, well-sourced, and defensible analytical products

Evaluate and validate AI-generated outputs, applying analytical rigor and subject matter judgment to ensure accuracy, relevance, and appropriate sourcing

Provide continuous feedback to engineering and product teams on platform usability, workflow effectiveness, capability gaps, and mission-relevant improvement opportunities

Develop and refine reusable analytical workflows, templates, prompt strategies, and best practices that improve efficiency and consistency across the analyst user base

Support the creation of demonstrations, pilot use cases, and mission-relevant proof-of-concept workflows that showcase platform value to stakeholders

Collaborate with other analysts, engineers, and mission stakeholders to identify high-value analytical use cases and help prioritize platform development

Help define and document concepts of employment, analytical workflows, evaluation criteria, and operational procedures for AI-augmented analysis

Support training, onboarding, and enablement of new platform users by sharing expertise, best practices, and lessons learned

Contribute to the development of quality assurance and evaluation frameworks for AI-assisted analytical products

Qualifications

Required Qualifications:

Minimum of a Bachelor's degree in Intelligence Studies, International Relations, Political Science, Data Analytics, Information Systems, National Security Studies, or a related field

8+ years of relevant experience in all-source analysis, intelligence analysis, research analysis, operational analysis, or related analytical roles

Demonstrated experience producing structured analytical products from diverse data sources, including open source, structured databases, and unstructured text

Strong critical thinking, analytical reasoning, and problem-solving skills with the ability to assess source reliability and information credibility

Experience working with analytical tools, platforms, or technologies that support data retrieval, visualization, structured analysis, or report generation

Strong written and verbal communication skills, including the ability to produce clear, concise, and well-organized analytical products and briefings

Comfort operating in fast-paced, evolving environments where tools and workflows are actively being developed and refined

Ability to work cross-functionally with technical teams, providing clear feedback on platform capabilities and analytical needs

US Citizenship with the ability to obtain and maintain public trust suitability

Desired Qualifications:

Prior experience in intelligence community, defense, law enforcement, homeland security, or other mission-driven analytical environments

Hands-on experience with AI-enabled analytical tools, large language models, agentic AI platforms, or AI-assisted research and analysis workflows

Experience with prompt engineering, workflow configuration, or natural language interaction with AI systems in an analytical context

Familiarity with structured analytical techniques (SATs), intelligence community analytical standards, or equivalent analytical frameworks

Experience with data visualization, geospatial analysis, link analysis, or other specialized analytical methodologies

Background in evaluating or adopting new analytical technologies, including participation in pilot programs, technology transitions, or capability assessments

Experience developing analytical SOPs, tradecraft guides, training materials, or best practice documentation

Familiarity with knowledge management, data curation, or information organization in support of analytical workflows

Experience in environments where analytical rigor, source protection, and quality assurance are critical operational requirements

Details

Target Salary Range: $104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.

Compensation

This AI Infrastructure Engineer role pays $104k-$166k/yr. Within typical range for ai infrastructure engineer roles in United States.

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