Assessments Platform Integrator

CACI•Tampa, FL

8d•Onsite

About The Position

Join a team dedicated to advancing national security through innovative irregular warfare and operations expertise. CACI is looking for individuals to join a program that delivers mission-critical advisory, training, and operational support services that help mission partners stay ahead of rapidly evolving global threats. Working across geographic and functional combatant commands, these professionals play a vital role in developing, integrating, and sustaining mission-ready task forces that enhance joint force effectiveness and operational success. This is an opportunity to contribute to high-impact missions, collaborate with experienced professionals, and support strategic operations that strengthen our nation's defense capabilities around the world. Candidates who thrive in dynamic environments, embrace complex challenges, and are committed to mission excellence will find meaningful opportunities for growth and impact within CACI and on this team.

Requirements

TS/SCI security clearance
Master’s Degree in Data Science, Computer Science, Statistics, Operations Research or other relevant field. Bachelor’s Degree may be accepted based on additional years of relevant experience.
5 years experience supporting DoW providing data analytics, data visualization, assessments or operations research support.
Demonstrated experience developing and implementing data visualization solutions using industry-standard tools (e.g., Tableau, Power BI, Qlik, or similar platforms).
Experience integrating data from multiple disparate sources into unified analytical platforms.
Experience with cloud-based data platforms (AWS, Azure, or Google Cloud Platform).
Experience with data manipulation and analysis using Python, R, or similar programming languages.
Knowledge of data architecture principles and semantic data modeling.
Understanding of AI/ML integration and data pipeline development.
Familiarity with DoD command and control information systems
Excellent communication skills with ability to translate technical concepts to non-technical audiences.

Nice To Haves

Advanced certifications in data analytics, cloud platforms (AWS Certified Solutions Architect, Azure Data Engineer, etc.), or visualization tools (Tableau Desktop Specialist, etc.).
Experience with military planning processes including Joint Planning Process (JPP), military decision-making process, joint targeting process, and/or military campaign planning
Experience supporting OIE, IW and or Sensitive Activities
Direct experience with Maven Smart System, Command and Control in the Information Environment (C2IE), or similar DoD command platforms.
Experience with API development and integration.
Knowledge of geospatial analysis and visualization tools (ArcGIS, QGIS).
Understanding of social science research methodologies and quantitative analysis techniques.
Familiarity with DoD assessment frameworks and operational planning processes.

Responsibilities

Identify, develop, and implement strategies to translate data, intelligence, research, and analysis into visualizations and analytical applications that drive planning, assessments, and operational refinement decision making.
Provide expertise to ensure semantic alignment and ontological consistency as new data requirements, capabilities, and sources are integrated into mission customer data architecture supporting analysis and assessments of Operations in the Information Environment (OIE).
Provide requirements, assist development, and enable user acceptance of custom dashboards and data visualizations.
Integrate OIE-related research (e.g. surveys, polls, area studies etc) and analysis (including Target Audience Analysis) with operational analytical platforms and Mission Command systems (e.g. Maven Smart Systems or C2IE).
Facilitate the integration and/or optimization of analytical applications, including cloud-based and AI/ML-driven capabilities, with Government Mission Command Systems
Coordinate with Command intelligence analysts, operations personnel, data scientists, data engineers, and social scientists to ensure visualizations and applications accurately reflect analytical findings and operational requirements.