Senior Data and AI Integrator

Responsibilities

• Analyze large, complex, and diverse datasets to establish baselines, identify patterns and trends, develop indicators, and support operational decision-making.
• Develop and automate analytic workflows using Python, R, and related data science tools to accelerate data discovery, processing, and analysis.
• Apply statistical and quantitative techniques including regression, hypothesis testing, sampling, longitudinal analysis, network analysis, modeling, and reliability/validity assessment.
• Develop prototypes, scripts, and analytical tools that improve data collection, processing, integration, visualization, and synthesis.
• Apply AI/ML and Natural Language Processing (NLP) techniques to structured and unstructured data, including text, survey responses, social media, and operational reporting.
• Conduct qualitative and mixed-methods analysis using techniques such as thematic coding, classification, sentiment analysis, and NLP-assisted analysis.
• Develop dashboards, visualizations, and analytical products that communicate complex findings to operational leaders and mission stakeholders.
• Integrate analytical findings with intelligence and operational reporting to establish baselines, measure effects, identify emerging trends, and assess OIE/IW activities.
• Manage and optimize analytical datasets, databases, metadata, and longitudinal data to support repeatable analysis and research.
• Apply geospatial analysis and visualization techniques to assess information environment dynamics, geographic patterns, and audience characteristics.
• Leverage social media and publicly available data using automated collection, analytics, AI/ML, and NLP techniques to evaluate reach, behavior, trends, and operational effects.
• Support research and assessment design by developing analytical methodologies, data collection strategies, assessment criteria, and measures of performance and effectiveness.
• Collaborate with multidisciplinary teams across intelligence, operations, technology, and research functions to translate mission requirements into data-driven analytical solutions.

Qualifications:

Required:

• Active TS/SCI clearance
• Bachelor’s degree in technical, analytic, or operational discipline
• 5+ years of experience in software development, data engineering, analytics, or mission system integration
• Hands-on experience with at least one enterprise data platform (e.g., Foundry, GAIA, AWS/Azure, GCP, or similar)
• Demonstrated ability to build or maintain data pipelines, workflows, dashboards, or analytic applications
• Basic AI/ML experience suitable for usage of tools such as MAVEN’s AI FDE (no deep ML research required)
• Familiarity with OIE, PSYOP, IO, or intelligence operations (training, previous assignments, or adjacent experience)
• Ability to convert operational requirements into technical tasks and rapidly produce solutions
• Strong communication skills to coordinate with operators, analysts, and mission partners

Desired:

• 2+ years direct experience building or sustaining MAVEN workflows, pipelines, or applications
• Strong proficiency in GAIA and Foundry, especially in transformations, routing, ontology usage, and pipeline development
• Advanced full-stack development capabilities (Python, APIs, data transformation, automation, integrations)
• Ability to design AI-supported workflows using AI FDE to accelerate model creation and analytic output
• Deep operational understanding of PSYOP and OIE requirement generation, planning cycles, and product needs
• Experience integrating analytic tools into mission systems such as MAVEN components, dashboards, or planning platforms
• Track record of leading technical teams in fast-paced operational environments
• Additional certification or training related to data engineering, cloud platforms, or operational analytics
  
  
   

Pay Range:

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

The proposed salary range for this position is: