Technical Program Manager SETA - STO

About the role

Everforth ECS is seeking a Technical Program Manager to work on-site in Arlington, VA. The successful candidate will serve as a Quantitative Analyst SETA supporting DARPA program managers in the development, integration, and scaling of complex adaptive system modelling and data-intensive analytical capabilities.

This role involves integrating complex, multi-source intelligence and commercial/open-source data streams into graph-based, network analytical frameworks to support strategic competition analysis, industrial base resilience, and national security decision-making.

Responsibilities

• Oversee the design, evaluation, and application of quantitative economic models, network analysis frameworks, and graph-based data integration architectures.
• Oversee the integration of complex, multi-source intelligence and economic datasets into scalable, operational analytical pipelines.
• Serve as primary technical liaison between academic researchers, software engineering teams, and IC stakeholders to ensure tools align with operational requirements.
• Advise DARPA leadership on program execution risks, data architecture scalability, and capability transition strategy.
• Prepare technical documentation, program roadmaps, and executive briefs to communicate program progress and analytical findings to senior decision-makers.

Requirements

• Must be a U.S. citizen with an active Top-Secret clearance, with Sensitive Compartmented Information (SCI) eligibility.
• Master’s degree or PhD in Economics, Data Science, Applied Mathematics, or a related quantitative field.
• 5+ years of relevant experience in quantitative economic modeling, advanced econometrics, and network data science/data engineering applied to complex adaptive systems.
• Demonstrated experience in large-scale data processing, multi-source data pipeline integration, and managing structured/unstructured data architectures.
• Practical experience with graph analytics, network modeling tools, and interconnected data architectures.
• Strong background working within or alongside the U.S. Intelligence Community (IC), including familiarity with IC mission environments, data workflows, and intelligence-derived datasets.
• Understanding of diverse data sources across global economics, financial networks, trade flows, defense industrial supply chains, and multi-INT sources.
• Strong communication skills—both written and oral—with the ability to translate complex econometric and data models for senior defense stakeholders.

Skills

• Active Special Access Program (SAP) access and experience working at TS/SCI and SAP levels.
• Experience with defense industrial base analysis, economic statecraft, strategic competition modeling, or macroeconomic resilience metrics.
• Hands-on experience building decision-support tools, AI/ML-enabled analytical tools, cloud data engineering workflows, or large language model (LLM) research pipelines.
• Prior background supporting new program start-ups, pilot demonstrations, and transition pathways within defense or intelligence organizations.
• Experience in high-paced private sector quantitative production environment such as systematic investing or trading, real-time ad technology development, or pharmacological optimization and customization.
• Demonstrated ability to bridge communication and technical execution across academic economists, data engineers, software developers, and operational intelligence analysts.

Pay

Salary Range: $150,000-$195,000 (actual compensation depends on overall experience)

Schedule

Work on-site at DARPA HQ (Arlington, VA) daily. Travel to support program operations up to 15% duty factor.