Program and Data Analytics SETA (TS/SCI #26-089) in Arlington, Virginia at Strategic Analysis, Inc.
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Job Description
Strategic Analysis, Inc (SA) is seeking a versatile, skilled Program and Data Analytics SETA to support Defense Advanced Research Projects Agency (DARPA) activities. In this role the Program & Data Analytics SETA is responsible for providing critical project management and data/analytics support for the Civil Reserve Manufacturing Network (CRMN). This role requires a strategic approach to managing performer teams developing digital infrastructure—specifically the CRMN Registry and Manufacturing Compatibility Index (MCI)—and leading a pilot conversion exercise to validate these tools within a defense contracting context.
Key Duties and Responsibilities:
• Track progress, review deliverables, and identify risks or performance issues.
• Coordinate with related data and digital initiatives across the government.
• Develop initial analyses of manufacturing capacity, supply-chain risks, and production opportunities.
• Turn complex data into clear insights for program managers and senior leaders.
• Prepare briefings and other decision-support materials.
• Develop evaluation criteria, data-collection plans, and after-action findings.
• Track schedules, milestones, risks, actions, and performer deliverables.
• Coordinate across government, industry, acquisition, and technical stakeholders.
Required Qualifications:
• 5-7 years of experience supporting government Defense and Intelligence Agencies
• BA/BS Degree in Business or related fields
• TS/SCI
• Conducting Defense Industrial Base (DIB) risk assessments and supply chain risk mitigation analysis
• Strong project-management and performer-oversight skills.
• Ability to analyze data and communicate useful initial insights.
• Familiarity with government acquisition and contracting.
• Strong written, verbal, and stakeholder-coordination skills.
Desired Qualifications:
• MBA or MS Degree
• Familiarity with industrial mobilization, supply chains, or production-capacity analysis.
• Experience integrating data across government organizations.
• Understanding of government data rights, cybersecurity, licensing, and information-sharing requirements.
• Identify and assess government, commercial, and performer-provided data sources.
• Use digital tools and data to identify and assess potential manufacturing capabilities.
• Knowledge of defense and commercial manufacturing.
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