Contractor To Analytics Specialist – Capability Lifecycle; Engineering

Labor Category 44:
Contractor Support to Analytics Specialist – Capability Lifecycle (Engineering)

Location:

Norfolk, VA, USA (On-site)

• 1. Requirements Analytics and Engineering Insight:
  Design, develop, and maintain analytic products that provide visibility into requirements definition, maturity, completeness, and alignment across the capability lifecycle.
• 2. Requirements Capture and Decomposition Support:
  Support the analysis, decomposition, and structuring of complex system and capability requirements to enable effective analytics, traceability, and decision support.
• 3. Requirements Traceability and Linkage Analysis:
  Develop analytics and reports that assess traceability between requirements, architectures, capabilities, verification artifacts, and delivery outcomes across engineering repositories.
• 4. Engineering Data Integration and Interoperability:
  Integrate requirements and engineering data from multiple authoritative sources to enable unified analysis, reporting, and cross‑domain insight.
• 5. Configuration and Change Management Analytics:
  Support configuration management and change control activities by developing analytics that track requirement baselines, version history, change impacts, and configuration status.
• 6. Engineering Performance Metrics:
  Define, calculate, and maintain metrics that measure requirements quality, engineering progress, technical risk, and delivery readiness.
• 7. Business Intelligence Development (Engineering Focus):
  Develop, customize, and maintain dashboards, reports, and visualizations that communicate engineering status, risks, and trends to technical and non‑technical stakeholders.
• 8. Cross‑System Engineering Reporting:
  Integrate and correlate engineering data with programmatic, schedule, and risk data to support holistic capability lifecycle analysis.
• 9. Data Quality and Validation:
  Perform validation, consistency checks, and quality assurance activities on engineering and requirements data to ensure accuracy and reliability of analytic outputs.
• 10. Decision Support for Engineering Reviews:
  Produce analytic products that support requirements reviews, design trade‑off analyses, technical governance forums, and capability assurance activities.
• 11. Stakeholder Engagement:
  Collaborate with engineers, architects, analysts, program managers, and international stakeholders to capture analytic requirements and translate them into actionable engineering‑focused analytics.
• 12. Process Improvement and Automation:
  Identify opportunities to streamline and automate engineering analytics, reporting, and data preparation workflows to improve efficiency and reduce manual effort.
• 13. Tool and Workflow Support:
  Support the configuration and effective use of analytics tools and engineering workflows to ensure adoption and consistent use across stakeholders.
• 14. Documentation:
  Develop and maintain documentation describing analytic logic, data sources, assumptions, and limitations for engineering‑focused analytics and reports.
• 15. User Training and Knowledge Transfer:
  Deliver training sessions, user guides, and ad hoc support to ensure effective adoption and interpretation of engineering analytics products.
• 16. Capability Lifecycle Engineering Support:
  Apply analytics expertise to support requirements‑based planning, capability development, verification, validation, and delivery assurance activities.
• 17. Technical Support:
  Provide ongoing analytic support and troubleshooting for engineering‑focused analytics, reports, and dashboards.
• 18. Additional Tasks:
  Perform additional tasks as required by the COTR related to this labor category.

• 1. 8+ years of progressive professional experience in requirements engineering systems analysis, engineering analytics, or related disciplines supporting complex technical systems within defence, security, or similarly regulated environments.
• 2. Demonstrated expertise in requirements lifecycle management, including requirements capture, decomposition, traceability, validation, and verification across the capability lifecycle using enterprise requirements or lifecycle management tools.
• 3. Demonstrated experience developing analytics,…