Contractor Support to Analytics Specialist – Capability Lifecycle (Engineering

Position Overview
The Contractor Support to Analytics Specialist Capability Lifecycle (Engineering) will support NATOs Capability Development Directorate (CAPDEV) by designing building and sustaining engineering-focused analytics and reporting across the capability lifecycle. Working within the CAPDEV Data and Analytics Office (DAO) this role integrates requirements and engineering data from authoritative sources to provide traceability performance insight and decision support for capability planning development verification validation and delivery assurance.

Background Information
1. DCOS CAPDEV provides guidance direction and coordination for the Capability Development Directorate identifying and prioritizing Alliance capability development and ensuring coherence across the DOTMLPFI lines of effort.
2. The CAPDEV DAO manages data and platform operations for Capability Lifecycle Requirements and P3M data providing analytics-as-a-service and enabling self-service analytics for CAPDEV decision-makers.
3. CAPDEV is implementing improvements to capability development planning and management including modernizing how capability development and delivery information is collected managed analyzed and reported.

Key Responsibilities - Analytics Specialist Capability Lifecycle (Engineering)
1. Requirements Analytics & 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 & Decomposition Support: Support analysis decomposition and structuring of complex capability and system requirements to enable effective analytics traceability and decision support.
3. Requirements Traceability & 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 & Interoperability: Integrate requirements and engineering data from multiple authoritative sources to enable unified analysis reporting and cross-domain insight.
5. Configuration & Change Management Analytics: Develop analytics that track requirement baselines version history change impacts and configuration status to support configuration management and change control.
6. Engineering Performance Metrics: Define calculate and maintain metrics to 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: Correlate engineering data with programmatic schedule and risk data to support holistic capability lifecycle analysis.
9. Data Quality & Validation: Perform validation consistency checks and quality assurance 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 needs and translate them into actionable engineering-focused analytics.
12. Process Improvement & Automation: Identify opportunities to streamline and automate engineering analytics reporting and data preparation workflows to improve efficiency and reduce manual effort.
13. Tool & Workflow Support: Support 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 & 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 labour category.

Essential Qualifications
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 capture decomposition traceability validation and verification across the capability lifecycle using enterprise requirements or lifecycle management tools.
3. Demonstrated experience developing analytics metrics and visualizations that provide insight into requirements status maturity risk and alignment to support engineering decision-making and technical governance.
4. Bachelors degree in Engineering Computer Science Information Systems Mathematics or a related technical discipline or equivalent professional experience.
5. Demonstrated experience integrating engineering and requirements data from multiple authoritative sources to support cross-system analysis traceability and reporting in enterprise environments.
6. Demonstrated experience supporting configuration management and change control activities including baselining version control impact analysis and compliance with organizational NATO or DoD standards.
7. Demonstrated experience supporting full systems or software development lifecycle (SDLC) activities including requirements analysis system design testing verification and deployment.
8. Demonstrated proficiency in data analysis and reporting including the use of business intelligence or analytics tools to translate engineering data into actionable insight for technical and non-technical stakeholders.
9. Demonstrated professional experience operating within secure or classified environments including adherence to security classification handling data protection and access control requirements.
10. Demonstrated ability to collaborate across multidisciplinary and international teams to translate engineering data into decision-support products.
11. Demonstrated minimum NATO or National SECRET clearance with the appropriate national authority for the duration of the contract.
12. Demonstrated proficiency in English as defined in STANAG 6001 (SLP 3333 - Listening Speaking Reading and Writing) or equivalent.
13. Demonstrable proficiency in effective oral and written communication including briefing and coordinating with business stakeholders.

Additional Requirements
A NATO Secret clearance is required.
Prior to the award qualified candidates will receive a conditional job offer. Final offers will be extended if is awarded the position.