Business Analyst (Senior)

Position overview

Clearance and employment

• Active TS or higher clearance is required, with ability to obtain a CI polygraph.
• Job type is full-time.
• Target salary range is $120,000–$140,000 per year, depending on education, experience, certifications, and position-specific considerations.

Analysis and Agile delivery

• Elicit requirements through stakeholder interviews, workshops, and document review; translate them into user stories and acceptance criteria.
• Resolve ambiguity, conduct gap analysis, and identify process opportunities for AI-driven automation and optimization.
• Participate in sprint planning, backlog refinement, and standups; collaborate with stakeholders to prioritize features.
• Validate completed stories and deliverables against acceptance criteria and stakeholder expectations.

Documentation and testing

• Prepare functional specifications and business requirements documents, process diagrams, flows, and use cases.
• Maintain traceability matrices and keep requirements documentation aligned with solution capabilities.
• Facilitate technical and non-technical stakeholder communication.
• Support UAT by preparing scenarios, coordinating tests, documenting results, gathering feedback, and helping resolve issues.
• Ensure solutions align with mission objectives and applicable federal standards.

AI and data solution support

• Support requirements for custom applications and AI involving multiple models and modalities, reasoning, perception, memory, and tool execution.
• Support requirements for temporal, spatial, geographic, quantitative, computer vision, entity extraction, and entity resolution capabilities.
• Support multi-step retrieval, structured outputs, data parsing and ingestion, citations, and traceable analytic outputs.
• Support vector, graph, and multi-database orchestration; automated ETL; attribute-based access control; data provenance and lineage; and structured and unstructured data normalization.

Infrastructure and application technologies

• Support air-gapped, hybrid, and on-premises environments, Kubernetes, distributed systems, locally hosted GPU servers, hyperconverged nodes, and cross-domain solutions.
• Listed technologies include TypeScript, React, Python, FastAPI, LanceDB, Lance Graph, PostgreSQL, Temporal.io, Docker, and Kubernetes.
• Support integration of reasoning components, retrieval systems, databases, and AI/GenAI services.