Contractor to Analytics Specialist- Capability Lifecycle Security Clearance
Job Description & How to Apply Below
Contractor Support to Analytics Specialist
- Capability Lifecycle (Engineering) DEFTEC delivers mission-critical solutions through skillfully delivered services and innovative products. We are inspired by our clients' critical missions and driven to provide the most effective solutions to execute their missions, operational challenges, and requirements. Our dedicated, experienced, and talented employees work closely with our clients to ensure the delivery of exceptional services and products. POSITION OVERVIEW This position provides specialized contractor support to the Capability Development Directorate at Headquarters Allied Command Transformation (HQ SACT), with a focus on analytics and engineering for the capability lifecycle.
Working under the Deputy Chief of Staff Capability Development (DCOS CAPDEV), the role supports NATO's mission to identify, prioritize, and manage Alliance capability development across short-, medium-, and long-term horizons. The contractor will assist the CAPDEV Data and Analytics Office (DAO) in managing data and platform operations for capability lifecycle, requirements, and P3M (Portfolio, Program, and Project Management) data. Key responsibilities include delivering advanced analytics services, enabling self-service analytics for decision-makers, and contributing to improved planning, data collection, analysis, and reporting processes.
This position is instrumental in supporting NATO's strategic objectives by applying data-driven insights to enhance interoperability, deployability, and sustainability of Alliance forces through coherent, through-life capability development. JOB RESPONSIBILITIES
* 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.
* 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.
* Requirements Traceability and Linkage Analysis:
Develop analytics and reports that assess traceability between requirements, architectures, capabilities, verification artifacts, and delivery outcomes across engineering repositories.
* Engineering Data Integration and Interoperability:
Integrate requirements and engineering data from multiple authoritative sources to enable unified analysis, reporting, and crossdomain insight.
* 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.
* Engineering Performance Metrics:
Define, calculate, and maintain metrics that
* measure requirements quality, engineering progress, technical risk, and delivery readiness.
* 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.
* Cross-System Engineering Reporting:
Integrate and correlate engineering data with programmatic, schedule, and risk data to support holistic capability lifecycle analysis.
* 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.
* Decision Support for Engineering Reviews:
Produce analytic products that support requirements reviews, design trade-off analyses, technical governance forums, and capability assurance activities.
* Stakeholder Engagement:
Collaborate with engineers, architects, analysts, program managers, and international stakeholders to capture analytic requirements and translate them into actionable engineering-focused analytics.
* Process Improvement and Automation:
Identify opportunities to streamline and automate engineering analytics, reporting, and data preparation workflows to improve efficiency and reduce manual effort.
* Tool and…
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