Mission Data – AI Business Analyst

This is a fully remote position, open to applicants in Illinois.

📋 Description

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

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

• Establish KPIs, operational metrics, reporting needs, and success measures for AI, data analysis, and business intelligence capabilities.

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

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

• Define data needs for AI use cases, analytical models, automation, dashboards, reports, and decision-making processes.

• Support requirements for training, validation, and testing datasets.

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

• Collaborate with data engineering and technical teams on requirements for data warehouses, ETL processes, data modeling, and data integration.

• Specify requirements and acceptance criteria for dashboards, analytical tools, visualizations, and self-service reporting.

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

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

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

• Develop or assist with UAT plans, scenarios, scripts, test data, expected outcomes, 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 AI-generated outputs and analytical products against customer expectations, accuracy standards, and human-review requirements.

• Support safeguards for AI-enabled processes, including output validation, operational-risk controls, human oversight, and escalation paths.

• Measure mission impact post-implementation against KPIs, baselines, and anticipated benefits.

• Present findings, requirements, recommendations, risks, and performance results to Government stakeholders and program leadership.

• Collaborate with Agile delivery teams to refine and prioritize backlog items, clarify requirements, resolve queries, and support sprint demonstrations and reviews.

• Maintain requirements, process documentation, decision logs, meeting records, traceability artifacts, and other program documentation.

• Foster continuous improvement by integrating user feedback, analytical findings, testing results, and lessons learned into future requirements and backlog priorities.

⛳️ Requirements

• Active Secret clearance or higher.

• Bachelor’s degree in information systems, business, or a related field, or an acceptable equivalent.

• At least eight years of relevant professional experience.

• Experience conducting requirements analysis for complex business, data, or technology initiatives.

• Experience in developing and managing user stories and measurable acceptance criteria.

• Experience in maintaining requirements traceability throughout the delivery lifecycle.

• Experience defining reporting requirements, key performance indicators, business rules, and data requirements.

• Experience analyzing mission, operational, business, or program data.

• Experience coordinating or supporting user acceptance testing.

• Experience mapping business processes or operational workflows.

• Experience collaborating with business stakeholders and technical teams to translate mission needs into actionable requirements.

• Business analysis or Agile certification.

• Ability to evaluate and prioritize AI or automation use cases based on mission value, feasibility, risk, and data requirements.

• Ability to define appropriate human-review checkpoints and acceptance measures for AI-enabled workflows.

• Ability to clearly communicate complex data, AI, and technical concepts to both technical and non-technical audiences.

• Strong skills in written communication, facilitation, analytical thinking, and documentation.

• Advanced or additional business analysis certification, such as CBAP, PMI-PBA, or a similar credential (preferred).

• Additional Agile certification, such as Certified ScrumMaster, Professional Scrum Master, or PMI Agile Certified Practitioner (preferred).

• Experience supporting federal or Department of Defense programs (preferred).

• Experience working with AI, machine learning, intelligent automation, or agent-based solutions (preferred).

• Experience defining requirements for AI training, validation, or testing datasets (preferred).

• Familiarity with responsible AI principles, AI output validation, model performance monitoring, model drift, and controls designed to mitigate inaccurate or unsupported outputs (preferred).

• Experience in data governance, data quality, metadata management, data warehouses, or extract-transform-load processes (preferred).

• Experience developing requirements for business intelligence platforms, dashboards, data visualizations, or self-service reporting (preferred).

• Experience with Microsoft Power BI, including knowledge of data models, dashboard design, or Data Analysis Expressions (preferred).

• Familiarity with DoD Impact Level 4 environments or similar controlled-data environments (preferred).

• Experience using requirements, backlog, and traceability tools such as Jira, Azure DevOps, or comparable platforms (preferred).

• Experience measuring operational benefits, user adoption, mission impact, or return on technology investments (preferred).

🏝️ Benefits

• Regular full-time employment.

• Equal employment opportunity and affirmative action protections.

• Opportunity to be considered for other available positions requiring comparable skills, education, and experience.