Automated Portfolio Analysis and Reporting – AI Implementation Specialist

Duties

The project involves developing a Graphical User Interface (GUI)-based prototype that enables stakeholders to validate and interact with an AI-powered document analysis pipeline for NATO Project Management Plans (PMPs). The tool will:

• Ingest and analyze PMP documents (within NU classification).

• Extract and visualize insights such as classified topics, semantic relationships, and cross-document references through interactive dashboards.

• Provide a chatbot interface that supports conversational querying across analyzed content, enabling both high-level and detailed document exploration.

• Facilitate portfolio management and strategic decision-making by automating document analysis to:

  • Identify common topics, links, and technologies.

  • Prevent duplication across PoWs, projects, and work packages.

  • Promote collaboration and reuse of methods and outputs.

  • Enhance visibility and alignment with NATO priorities (e.g., EDTs, Digital Transformation Strategy).

• Support business-level portfolio analytics via filtering, aggregation, and natural language queries.

• Generate interactive dashboards and reports for stakeholders summarizing key metrics (e.g., budgets, risks, dependencies, trends).

Example system capabilities include answering questions such as:

• Identifying projects working on specific technologies.

• Mapping strategic alignment to NATO initiatives.

• Aggregating financial data by topic or domain.

• Listing stakeholders by project or theme.

• Highlighting risks and dependencies across documents.

• Producing summaries and visual dashboards for portfolio overviews.

Required Qualifications and Competencies

A Data Analyst / AI Engineer is required with expertise in applied AI, natural language processing, and GUI development.

Education and Experience

1. Bachelor’s degree in Computer Science, Data Science, Software Engineering, Machine Learning, or equivalent experience.

2. 8 years of experience in applied AI.

3. 3 years managing and deploying Large Language Models (LLMs).

4. 3 years in developing GUI-based user interfaces.

5. 2 years building intelligent document analysis systems (chunking, topic tagging, semantic classification).

6. 2 years creating data visualizations, graphs, and databases.

7. 2 years designing interactive chatbots that enable users to query documents.

8. 2 years experience in network filtering, access control, and cloud security architecture.

9. Ability to design automated experimentation environments that include human-in-the-loop interactions.

10. Demonstrated research methodology and model development process to establish credibility and reliability.