Business Analyst

Business Analyst

Top Secret Clearance required

Chantilly, VA on
-site

Bachelors required

Minimum 8 years experience

You will facilitate requirements gathering sessions, conduct user interviews, and analyze business processes to identify opportunities for AI-driven solutions. Working closely with Scrum Masters and development teams during sprint planning, you will write clear, testable user stories with well-defined acceptance criteria. You will participate in backlog refinement, validate user story completion, and ensure deliverables meet stakeholder expectations. Your documentation skills will be critical as you produce functional specifications, business process diagrams, use cases, and requirements traceability matrices supporting both development activities and compliance documentation.

Collaborating with Product Owners, developers, UX designers, and federal clients, you will prioritize features, resolve requirement ambiguities, and facilitate communication across technical and non-technical stakeholders. You will support user acceptance testing, gather feedback, and ensure solutions align with mission objectives and federal standards.

• Elicit and analyze business and functional requirements from federal clients, end users, and stakeholders through interviews, workshops, and documentation review.
• Translate complex requirements into clear, concise user stories with well-defined acceptance criteria for agile development teams.
• Participate in sprint planning, backlog refinement, and daily standups to support agile development processes.
• Validate user story completion and ensure deliverables meet acceptance criteria and stakeholder expectations.
• Draft functional specifications, business requirements documents, process flows, use cases, and requirements traceability matrices.
• Facilitate communication between technical teams and non-technical stakeholders, ensuring shared understanding of requirements and constraints.
• Conduct gap analysis identifying differences between current state and desired future state capabilities.
• Support user acceptance testing by developing test scenarios, coordinating testing activities, and documenting results.
• Analyze business processes and workflows to identify opportunities for AI-driven automation and optimization.

• In-house custom developed application

• Multi-model and multi-modality orchestration (reasoning, perception, memory, 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

• 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

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

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