Senior Technical Targeting Analyst (AI)

Education: Bachelor’s degree required
Experience: Minimum of 10 years of relevant experience

Position Summary

We are seeking a Technical Targeting Analyst SME to serve as the principal authority for AI-enabled targeting methodologies, intelligence-driven data analysis, and the integration of advanced analytical capabilities across complex operational environments.

This individual applies artificial intelligence, machine learning, cyber intelligence, and large-scale data exploitation techniques to identify and assess high-priority threats and develop actionable intelligence. The role provides technical and strategic leadership in analytic modernization, data-driven targeting, and cross-domain intelligence integration.

The SME also supports the development and integration of an in-house custom application, combining advanced analytics, AI services, data pipelines, and secure infrastructure. This position ensures the ethical, secure, and effective use of emerging technologies while advising senior stakeholders and leading complex analytical efforts.

Key Responsibilities

• Lead the development and application of AI-enabled targeting methodologies and advanced intelligence analysis.

• Analyze large, complex datasets from multiple intelligence and operational sources to identify threats, relationships, patterns, and intelligence gaps.

• Develop intelligence products, targeting packages, and executive-level briefings that communicate findings, supporting evidence, and operational implications.

• Advise senior stakeholders on analytical approaches, emerging technologies, and opportunities to modernize intelligence workflows.

• Guide the development and integration of an in-house application supporting intelligence analysis and targeting.

• Integrate AI and generative AI capabilities for reasoning, perception, memory, tool execution, retrieval, and structured output generation.

• Apply named entity recognition, contextual entity extraction, and entity resolution to support analysis across diverse data sources.

• Establish source citation, provenance, and data lineage practices that make analytical outputs traceable.

• Design and optimize data ingestion, normalization, and ETL workflows for structured and unstructured information.

• Integrate vector, graph, and relational databases while enforcing attribute-based access control at the data layer.

• Support deployment and operation across air-gapped, hybrid, and on-premises environments.

• Collaborate with engineering, infrastructure, security, and mission teams to deliver reliable analytical capabilities and maintain analytical governance.

Required Qualifications

• Minimum of 10 years of relevant experience in technical targeting, intelligence analysis, advanced analytics, or related technical disciplines.

• Experience using advanced analytical techniques, data exploitation tools, and intelligence collection methodologies.

• Knowledge of artificial intelligence, machine learning, and data-driven analytical frameworks.

• Experience analyzing large, complex datasets from multiple intelligence and operational sources.

• Strong critical thinking, investigative, and problem-solving skills.

• Experience developing intelligence products, targeting packages, and executive-level briefings.

• Ability to lead complex analytical efforts and advise senior stakeholders.

• Experience developing, integrating, or supporting custom analytical applications.

Technical Requirements

Advanced AI, Generative AI, and Multi-Model Engineering

• Multi-model and multimodal orchestration spanning reasoning, perception, memory, and tool execution.

• Implementation of temporal, spatial, geographic, quantitative, and computer vision AI capabilities.

• Named entity recognition, contextual entity extraction, and entity resolution.

• Multi-step retrieval and structured output generation.

• Complex data parsing and streamlined ingestion.

• Detailed source citations and traceable analytical outputs.

Data Architecture and ETL

• Orchestration across vector, graph, and multiple database systems.

• Automated ETL pipeline creation, scheduling, and optimization.

• Attribute-based access control (ABAC) at the data layer.

• Provenance and end-to-end data lineage tracking.

• Schema-aligned ingestion and normalization of diverse structured and unstructured data.

Enterprise Infrastructure and Cross-Domain Solutions

• Air-gapped, hybrid, and on-premises operational environments.

• Container orchestration and distributed systems management using Kubernetes.

• Locally hosted GPU servers and hyperconverged nodes.

• Multitenant cross-domain solutions (CDS).

Application Development and Integration

• User interface, backend, and middleware engineering using TypeScript, React, Python, and FastAPI.

• Experience with LanceDB, Lance Graph, PostgreSQL, Temporal.io, Docker, and Kubernetes.

• Integration of reasoning components, retrieval systems, databases, and AI and generative AI services.

• Proficiency with modern programming languages and application frameworks.

Preferred Qualifications

• Master’s degree in Intelligence, Data Science, Cybersecurity, Analytics, or a related field.

• Experience supporting federal, defense, intelligence, law enforcement, or national security missions.

• Expertise in AI/ML model development, data engineering, or advanced analytics platforms.

• Experience with cyber threat intelligence, network analysis, digital forensics, or open-source intelligence (OSINT).

• Knowledge of intelligence tradecraft, operational targeting methodologies, and analytical governance.

• Relevant certifications in intelligence analysis, cybersecurity, data science, cloud technologies, or AI/ML.

#CJ

Fantom Corp is a Software Development, Agile Cloud, Software Development, Cyber Security (Risk Management, Assessments & Authorization (A&A)), Data, AI Platform (Computer Vision Models), Podcasting Media Services, and IT Services provider. Established in 2015, Fantom Corp serves Federal customers with top-notch Cybersecurity Architects, Data Scientists/Analysts, Software Engineers/Developers, DevSecOps Engineers, Project Managers, Identity, Credential Access Management (ICAM) services , and Cloud-certified practitioners. We excel in delivering emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) with a focus on identifying trends, object detection, and classification of structured and unstructured data. Fantom Corp possesses mastery in all aspects of digital audio production. We lead in the ideation and creation of efforts for clients who want to harness the power of podcasting. We guide them in selecting the right show format for their needs and goals. As a Small Business, we possess the innovation, speed and flexibility to meet your requirements.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.