Mission Data & AI Business Analyst

DecisionPoint seeks a Mission Data & AI Business Analyst to define reporting requirements, key performance indicators, business rules, data needs, and acceptance criteria for artificial intelligence, data analysis, and business intelligence capabilities supporting the USMEPCOM ENLIST program.

This position will work with Government mission owners, users, data professionals, developers, testers, and technical leadership to translate operational needs into traceable requirements and measurable outcomes. The Mission Data & AI Business Analyst will analyze mission data, map current and future workflows, prioritize AI use cases, identify appropriate human-review checkpoints, and coordinate user acceptance testing.

The analyst will also support requirements for governed data ingestion, AI-ready datasets, data warehouse capabilities, analytical models, dashboards, and self-service reporting. The successful candidate must be able to connect technical capabilities to mission value while ensuring that requirements, user stories, acceptance criteria, test results, and implementation outcomes remain traceable.

This position is remote, with Chicago-area candidates preferred.

Note: By applying to this position, you acknowledge and consent to having your resume included in an active competitive government contract bid.

The Mission Data & AI Business Analyst will:

• Elicit, analyze, document, validate, and manage mission, business, data, reporting, and AI requirements.

• Translate Government and user needs into business requirements, user stories, process models, business rules, and measurable acceptance criteria.

• Define key performance indicators, operational metrics, reporting requirements, and success measures for AI, data analysis, and business intelligence capabilities.

• Map current-state and future-state workflows to identify inefficiencies, automation opportunities, data dependencies, decision points, and required human-review checkpoints.

• Identify, evaluate, and prioritize AI use cases based on mission value, feasibility, data availability, operational risk, and expected impact.

• Define the data needed to support AI use cases, analytical models, automation, dashboards, reports, and informed decision‑making.

• Help define requirements for training, validation, and testing datasets used to develop or evaluate AI and analytical models.

• Support requirements for centralized data ingestion, data transformation, data governance, data quality, metadata, and AI‑ready data architectures.

• Collaborate with data engineering and technical teams on data warehouse, extract-transform-load, data modeling, and data integration requirements.

• Define requirements and acceptance criteria for dashboards, analytical tools, data visualizations, and self‑service reporting capabilities.

• Analyze mission and operational data to identify trends, performance gaps, risks, opportunities, and actionable insights.

• Establish and maintain traceability among mission needs, business requirements, user stories, acceptance criteria, test cases, defects, and delivered capabilities.

• Coordinate user acceptance testing with Government mission owners and representative users.

• Develop or support user acceptance test plans, scenarios, scripts, test data, expected results, and evaluation criteria.

• Facilitate test‑readiness reviews, user testing sessions, results analysis, defect triage, and acceptance decisions.

• Document test results, user feedback, unresolved issues, corrective actions, and final acceptance status.

• Evaluate whether AI‑generated outputs and analytical products meet documented customer expectations, accuracy standards, and human‑review requirements.

• Support safeguards for AI‑enabled processes, including output…