Senior Principal Intelligence Analyst, Agentic AI Integration to support AI team in Crystal City, VA, integrating AI-enabled tools into analytic workflows.
Locations (2)
Crystal City, Virginia, United States
Arlington, Virginia, United States
Compensation
The likely salary range for this position is $144,500 - $195,500.
Responsibilities
Integrate AI-enabled capabilities into intelligence analysis workflows to improve research, data discovery, pattern recognition, and reporting.
Assist analysts in using AI capabilities responsibly, including validation of outputs, source evaluation, confidence assessment, and analytic rigor.
Work with analysts, data scientists, engineers, and software developers to identify analytic pain points and design practical AI-assisted solutions.
Evaluate and test AI tools, prompts, workflows, and automation techniques for intelligence use cases.
Support development of repeatable analytic methodologies that combine subject matter expertise with AI-generated insights.
Requirements
Bachelor’s degree
Nice to have: Generative AI
Nice to have: LLMs
Nice to have: Prompt engineering
Nice to have: Retrieval-augmented generation (RAG)
Job Posting Total Rewards Offerings: $109,100.00 - $143,200.00 (posting salary range) + 15% target short term incentive + $23,000 on average spent on benefits per employee, including but not limited to health, dental, vision, retirement with above market employer match, wellness incentives and EAP + paid time off (including holidays, vacation days and sick days).
Responsibilities
Lead the reporting & analytics activities for all acquired brands
Partner cross-functionally with commercial, technology and strategy & capabilities teams to define reporting & analytics tools and processes
Lead the development and optimization of centralized, integrated reporting and analytics tools for acquired brands
Communicate acquisition performance across all levels of the organization and act as the key analytics liaison with senior leadership and integration teams
Drive exception-based reporting and development of dashboards using advanced data visualization tools (preferably Power BI / Tableau)
The Security Research group is hiring a senior, hands‑on Application Security Researcher to push modern AppSec forward—working with engineers, researchers and AI/data scientists on next‑generation detection, including autonomous, agentic pen‑testing capabilities.
Responsibilities
Push modern AppSec forward
Work with engineers, researchers and AI/data scientists on next‑generation detection
Build and break security solutions
Translate research ideas from prototype to production
Communicate complex attack paths to engineers and product managers
Requirements
M.Sc. in Computer Science, Cyber Security, or a related field
Support and improve commercial data operations, ingestion workflows, and data quality processes within Experian’s data ecosystem.
Responsibilities
Support daily commercial data operations across Amazon Web Services-based ingestion and sourcing workflows
Monitor ingestion pipelines, recurring operational processes, and file movement activities to identify issues, delays, or failures
Investigate data discrepancies, onboarding issues, operational defects, and quality exceptions, then coordinate resolution with technical partners
Help onboard new incoming commercial data sources and support efforts to reduce time-to-file
Perform data validation and operational checks to help ensure completeness, accuracy, and readiness of ingested data
Requirements
Bachelor's degree in business, information systems, analytics, data management, computer science, or a related field, or equivalent practical experience
Analyze, transform, and validate large datasets using SQL, Python, and PySpark; develop and validate data transformations and ETL processes; collaborate with data engineers, business analysts, and stakeholders; support regulatory and management reporting.
Locations (2)
Kraków, Poland
Warsaw, Mazovia, Poland
Responsibilities
Analyse, transform, and validate large datasets using SQL, Python, and PySpark
Investigate data quality issues and identify their root causes
Develop and validate data transformations and ETL processes
Work with data related to corporate clients, financial products, and reporting
Collaborate with data engineers, business analysts, and other stakeholders
Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems.
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
Monitor and troubleshoot data pipelines to ensure reliability and performance.
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