AI/ML Decision Intelligence Lead for Aviation Systems

Peraton; Bowie (MD); On-site; USD 146,000 - 234,000; Full time

Job summary

Peraton Labs seeks an AI/ML Decision Intelligence Lead to guide advanced analytics, AI-enabled decision support, and agentic analytics for BNATCS CTO's aviation modernization program in Maryland.

The role blends senior technical leadership with hands-on development, data fusion strategy, and stakeholder briefings to ensure interpretable, reliable models that inform decisions across schedule, cost, and mission outcomes.

Qualifications

• 12+ years with a BS/BA, 10+ years with a MS/MA, or 6+ years with a PhD in AI/ML, data science, computer science, artificial intelligence, aerospace, systems engineering, or a related technical field
• Experience leading advanced analytics, AI/ML, predictive modeling, simulation, optimization, or decision-support in complex technical environments
• Ability to translate large, complex datasets into decision-ready insights for senior stakeholders

Responsibilities

• Lead the design, development, and application of AI/ML, analytics, and decision intelligence capabilities
• Transform complex data into actionable insights for leadership and stakeholders
• Develop analytical frameworks for continuous monitoring, evaluation, and improvement of performance and risk areas
• Design and guide predictive models for early indicators of risk across schedule, cost, and operations
• Apply ML, statistical modeling, OR, simulation, and optimization to support scenario analysis and decision support
• Lead data fusion strategies across heterogeneous data sources

Skills

AI/ML

Analytics leadership

Data fusion

Executive briefing

Stakeholder communication

Education

PhD in related field

MS in related field

BS in related field

Job description

Peraton Labs seeks an AI/ML Decision Intelligence Lead to guide advanced analytics, AI-enabled decision support, and agentic analytics for BNATCS CTO's aviation modernization program in Maryland.

The role blends senior technical leadership with hands-on development, data fusion strategy, and stakeholder briefings to ensure interpretable, reliable models that inform decisions across schedule, cost, and mission outcomes.