Senior Principal Intelligence Analyst

General Dynamics Information Technology•Arlington, VA

7d•$142,800 - $193,200•Onsite

About The Position

Iron EagleX is seeking a Senior Principal Intelligence Analyst to support analytics teams in Crystal City, VA. This role involves conducting advanced all-source analysis, collaborating with multi-discipline analysts, data scientists, data engineers, and developers to enhance the speed, depth, and quality of analytic production. The analyst will apply expert analytic tradecraft to interpret complex information from multiple sources, identify patterns and gaps, develop defensible assessments, and shape data-driven approaches to mission problems. Responsibilities include translating analytic questions into data requirements, evaluating data outputs, providing subject matter context for models and tools, and ensuring technical capabilities align with impactful analytics. The work transforms complex, multi-source information into clear, timely, and actionable assessments supporting decision-making, directly influencing the application of data, analytics, and AI-enabled tools to intelligence problems. Collaboration with data scientists, engineers, developers, and analysts ensures emerging technical capabilities are grounded in analytic tradecraft, operational relevance, and mission needs.

Requirements

Expert-level experience conducting all-source analysis in support of intelligence, defense, national security, law enforcement, or mission-focused operational environments.
Strong understanding of all-source analytic tradecraft, including source evaluation, structured analytic techniques, confidence statements, assumption testing, alternative analysis, and intelligence writing standards.
Demonstrated ability to synthesize complex information from multiple sources into clear, concise, and defensible analytic judgments.
Experience working with large, complex, or multi-source datasets in support of analytic production, operational assessments, targeting, threat analysis, network analysis, or mission planning.
Ability to translate mission questions and analytic problems into data requirements, technical use cases, workflow needs, and evaluation criteria for technical teams.
Experience collaborating with data scientists, data engineers, software developers, or technical product teams in a mission or intelligence environment.
Working knowledge of data-driven analytic methods, including pattern analysis, anomaly detection, entity resolution, link analysis, geospatial analysis, trend analysis, or network analysis.
Ability to evaluate technical outputs for analytic relevance, accuracy, completeness, bias, uncertainty, and mission utility.
Strong written and verbal communication skills, including experience producing analytic assessments, briefings, executive summaries, and decision-support products for senior stakeholders.
Ability to identify data gaps, source limitations, collection shortfalls, quality issues, and analytic risks that may affect assessments or tool outputs.
Experience working with analytic platforms, intelligence databases, knowledge management systems, search tools, or data visualization environments.
Strong attention to sourcing, evidentiary standards, documentation, and analytic defensibility.
Ability to operate effectively in cross-functional teams while maintaining ownership of analytic judgment, mission context, and tradecraft quality.
Current TS/SCI Clearance with current or willingness to obtain CI polygraph
10+ years of related experience
Bachelor's degree or equivalent experience.
US Citizenship Required

Nice To Haves

Experience supporting the development, testing, or operational adoption of AI-enabled analytic capabilities.
Experience working with data scientists to evaluate model performance, develop test cases, validate outputs, or provide subject matter context for training and evaluation datasets.
Familiarity with prompt development, retrieval-augmented generation concepts, semantic search, entity extraction, text analytics, or automated summarization workflows.
Experience with geospatial, temporal, network, or behavioral analysis methods.
Familiarity with SQL, Python, notebooks, or other data analysis tools.
Experience helping define analytic requirements for data pipelines, structured data products, APIs, search indexes, dashboards, or mission applications.
Experience mentoring analysts or leading analytic workstreams in a multi-disciplinary environment.
Advanced degrees are a plus.

Responsibilities

Conduct expert-level all-source analysis using structured analytic techniques, intelligence tradecraft, and multiple information sources to produce defensible assessments, insights, and recommendations.
Analyze complex datasets, reporting streams, operational information, and mission-relevant source material to identify patterns, trends, anomalies, relationships, risks, and intelligence gaps.
Collaborate with data scientists, data engineers, developers, and analysts to translate mission questions into data requirements, analytic workflows, technical use cases, and measurable outcomes.
Provide subject matter expertise to support the design, evaluation, and refinement of data models, analytic tools, AI-enabled workflows, and decision-support capabilities.
Review and assess outputs from data science models, AI tools, search systems, automated extraction processes, and analytic platforms for relevance, accuracy, explainability, and mission value.
Support the development of analytic methodologies that combine traditional all-source tradecraft with data-driven techniques, automated discovery, knowledge management, and AI-assisted analysis.
Identify data gaps, quality issues, source limitations, collection shortfalls, and analytic constraints that affect the reliability of assessments or technical outputs.
Produce written assessments, briefings, analytic notes, and decision-support products tailored to mission, operational, and technical stakeholders.
Collaborate with full stack developers and data engineers to ensure analytic workflows, tool interfaces, and data access patterns support realistic analyst needs without assuming responsibility for software development or front-end implementation.
Apply rigorous sourcing, confidence levels, assumptions, alternative analysis, and evidence evaluation to ensure analytic products are transparent, credible, and defensible.
Support the integration of AI-enabled tools into analytic workflows by testing outputs, identifying failure modes, refining prompts or analytic use cases, and documenting appropriate use cases and limitations.

Benefits

Comprehensive benefits and wellness packages
401K with company match
Competitive pay
Paid time off
Variety of medical plan options
Health Savings Accounts
Dental plan options
Vision plan
Ability to contribute both pre and post-tax dollars to 401K up to IRS annual limits
Full flex work weeks where possible
Variety of paid time off plans, including vacation, sick and personal time, holidays
Paid parental, military, bereavement and jury duty leave
Short and long-term disability benefits
Life insurance
Accidental death and dismemberment insurance
Personal accident insurance
Critical illness insurance
Business travel and accident insurance