Business Analyst

Location: Chantilly, VA
Security Clearance: Active TS or higher [Required]
Job Type: Full-Time
Target Salary Range*: $90,000 - $135,000

*This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary

---

Position Overview

Gather and analyze requirements, conduct user interviews, and evaluate business processes to identify opportunities for AI-driven solutions. Work with Scrum Masters and development teams to create clear, testable user stories, refine backlogs, and validate deliverables against acceptance criteria and stakeholder expectations.

Produce functional specifications, business process diagrams, use cases, and requirements traceability matrices supporting development and compliance documentation. Collaborate with Product Owners, developers, UX designers, and federal clients to prioritize features, resolve requirement ambiguities, support user acceptance testing, and ensure solutions align with mission objectives and federal standards.

Key Responsibilities

Requirements Gathering and Analysis

• Elicit and analyze business and functional requirements through stakeholder interviews, workshops, and documentation review.
• Translate complex requirements into clear user stories with well-defined acceptance criteria.
• Resolve requirement ambiguities and establish a shared understanding of requirements and constraints.
• Conduct gap analysis between current capabilities and the desired future state.

Agile Development Support

• Participate in sprint planning, backlog refinement, and daily standups.
• Collaborate with Product Owners, Scrum Masters, development teams, UX designers, and federal clients to prioritize features.
• Validate user story completion against acceptance criteria and stakeholder expectations.

Documentation and Traceability

• Draft functional specifications and business requirements documents.
• Develop business process diagrams, process flows, and use cases.
• Maintain requirements traceability matrices supporting development and compliance documentation.

Stakeholder Communication and Testing

• Facilitate communication between technical teams and non-technical stakeholders.
• Support user acceptance testing by developing test scenarios, coordinating testing activities, and documenting results.
• Gather user feedback and ensure solutions align with mission objectives and federal standards.

Business Process Optimization

• Analyze business processes and workflows to identify opportunities for AI-driven automation and optimization.

Qualifications

Education

• Bachelor’s degree. [Required]

Experience

• Minimum of 8 years of experience. [Required]

Application Requirements

• In-house custom-developed application.

Advanced AI, GenAI, and Multi-Model Engineering

• Multi-model and multi-modality orchestration involving reasoning, perception, memory, and tool execution.
• Temporal, spatial, geographic, quantitative, and computer vision AI implementation.
• Named Entity Recognition (NER), contextual entity extraction, and resolution.
• Multi-step retrieval and structured output generation.
• Complex data parsing and streamlined ingestion.
• Deep source citation and traceable analytic outputs.

Data Architecture and ETL

• Vector, graph, and multi-database orchestration.
• Automated ETL pipeline creation, scheduling, and optimization.
• Attribute-Based Access Control (ABAC) at the data layer.
• Provenance and end-to-end data lineage tracking.
• Schema-aligned ingestion and normalization of diverse structured and unstructured data.

Enterprise Infrastructure and Cross-Domain Solutions

• Air-gapped, hybrid, and on-premises operational environments.
• Container orchestration and distributed systems management using Kubernetes.
• Locally hosted GPU servers and hyperconverged nodes.
• Multitenant Cross-Domain Solutions (CDS).

Application Development and Integration

• UI, backend, and middleware engineering using TypeScript, React, Python, FastAPI, LanceDB, lance graph, PostgreSQL, Temporal.io, Docker, and Kubernetes.
• Integration of reasoning components, retrieval systems, databases, and AI / GenAI services.
• Use of modern programming languages and frameworks.