Senior Data Analyst

CACI International Inc

. Lead the enterprise-wide assessment of FEMA's data readiness and responsible AI/automation opportunities .

Posted 9/24/2026full-timeUnited StatesSenior💰 $105,100 - $231,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data governance frameworks, responsible AI principles, and analytics within regulated environments. Proficient in translating operational requirements into measurable AI use cases and ensuring data interoperability across systems.

Highest-signal resume keywords

Data Governance FrameworksResponsible AI PrinciplesData Integration StandardsCloud Data PlatformsData Science Tools

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Quality AssessmentPredictive AnalyticsNatural Language ProcessingComputer VisionRobotic Process AutomationData ArchitectureMLOps PracticesData VisualizationData ManagementAlgorithmic Fairness Assessment

Soft Skills

Exceptional Analytical SkillsStrong Communication Skills

Tools & Technologies

AWSAzurePythonRSQLSparkDatabricksSageMakerTableauPower BI

Certifications & Qualifications

CDMPData Governance CertificationCloud Data Platform Certification

Industry Keywords

FEMAEmergency ManagementDisaster ResponseFederal Data StrategyPrivacy Impact AssessmentsSystem of Records NoticesData EthicsAlgorithmic TransparencyCompliance RequirementsCross-Agency Data Interoperability

Tech Stack

Tools & technologies

AWSAzureCloudPythonRPASparkSQLTableau

About the role

Key responsibilities & impact

Lead the enterprise-wide assessment of FEMA's data readiness and responsible AI/automation opportunities
Evaluate data quality, accessibility, governance maturity, and interoperability across FEMA's portfolio
Define mission-focused use cases for workload triage, surge support automation, fraud prevention, predictive analytics, NLP, computer vision, and RPA
Assess data sufficiency, computational requirements, integration complexity, and model development needs
Quantify mission value and operational benefits such as time savings, accuracy improvement, and capacity augmentation
Map data exchanges, upstream/downstream dependencies, and cross-system data flows
Assess interoperability constraints and recommend standards-based exchange patterns, common data elements, shared vocabularies, and enterprise data models
Evaluate data governance, stewardship, metadata management, business glossaries, master data management, and data quality monitoring
Develop responsible AI governance structures, privacy controls, PII protections, records management, and algorithmic transparency requirements
Establish risk controls, fairness testing, bias mitigation, explainability, human review, model validation, performance monitoring, and continuous evaluation frameworks
Provide recommendations informing enterprise investment in data platforms, governance frameworks, and AI-enabled capabilities

Requirements

What you’ll need

Bachelor's degree and 15+ years of experience in analytics, data engineering, data architecture, or AI/ML solution architecture within regulated or government environments
Expertise with data governance frameworks, metadata management practices, and enterprise data strategy development
Experience with standards-based integration approaches including RESTful APIs, event-driven architectures, and data exchange standards
Ability to translate mission scenarios and operational requirements into measurable analytics outcomes and AI use cases
Strong understanding of responsible AI principles including fairness, accountability, transparency, ethics, and bias mitigation
Experience managing risk and oversight requirements in data and AI implementations within compliance-heavy environments
Exceptional analytical skills
Strong communication skills and ability to articulate technical data concepts to non-technical mission stakeholders and executives
Ability to obtain DHS Entry on Duty (EOD) clearance
Familiarity with FEMA Enterprise Data Warehouse (EDW), Operational Data Store (ODS), or FEMA mission systems and data architectures
Experience enabling cross-agency data interoperability, federal data sharing, or state/local data integration
Exposure to MLOps practices, model lifecycle management, and AI operations platforms
Knowledge of responsible AI frameworks from NIST, OMB, or industry standards bodies
Experience with federal privacy frameworks including Privacy Impact Assessments (PIAs) and System of Records Notices (SORNs)
Background in emergency management, disaster response, grants management, or social safety net program data
Hands-on experience with cloud data platforms (AWS, Azure) including data lakes, warehouses, and analytics services
Proficiency with data science tools and platforms (Python, R, SQL, Spark, Databricks, SageMaker, Azure ML)
Experience with data visualization and business intelligence platforms (Tableau, Power BI, Qlik)
Knowledge of geospatial data, GIS systems, and location intelligence
Familiarity with natural language processing, computer vision, or other AI/ML domain applications
Understanding of federal data governance policies including Federal Data Strategy, OPEN Government Data Act, and CDO Council guidance
Background in data ethics, algorithmic fairness assessment, or AI explainability research
Certifications in data management (CDMP), data governance, or cloud data platforms

Benefits

Comp & perks

Flexible time off benefit
Robust learning resources
Healthcare benefits
Wellness benefits
Financial benefits
Retirement benefits
Family support benefits
Continuing education benefits
Time off benefits
Competitive compensation
Learning and development opportunities