Mission Data – AI Business Analyst

DecisionPoint Corporation

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

Posted 10/28/2026full-timeRemote • Illinois • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in requirements analysis, business process mapping, and AI use case evaluation, with a strong focus on translating complex data and technical concepts into actionable business requirements. Proficient in user acceptance testing, data governance, and developing metrics for performance measurement.

Highest-signal resume keywords

Requirements AnalysisUser Acceptance Testing CoordinationBusiness Process MappingAI Use Case EvaluationData Governance

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Applicant Tracking System Keywords

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Hard Skills

Requirements AnalysisBusiness Process MappingData AnalysisReporting Requirements DefinitionKPI DefinitionUser Story DevelopmentAcceptance Criteria ManagementData Quality ManagementAI Training Dataset RequirementsOperational Metrics Definition

Soft Skills

Strong Written CommunicationFacilitation SkillsAnalytical SkillsDocumentation Skills

Tools & Technologies

Microsoft Power BIJiraAzure DevOpsData WarehousesETL Processes

Certifications & Qualifications

Business Analysis CertificationAgile CertificationCBAPPMI-PBACertified ScrumMaster

Industry Keywords

Federal ProgramsDepartment of DefenseAI PrinciplesMachine LearningIntelligent Automation

Tech Stack

Tools & technologies

AzureETL

About the role

Key responsibilities & impact

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 KPIs, 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 human-review checkpoints
Identify, evaluate, and prioritize AI use cases based on mission value, feasibility, data availability, operational risk, and expected impact
Define data requirements for AI use cases, analytical models, automation, dashboards, reports, and decision-making
Support requirements for training, validation, and testing datasets
Support requirements for centralized data ingestion, transformation, governance, data quality, metadata, and AI-ready architectures
Collaborate with data engineering and technical teams on data warehouse, ETL, data modeling, and data integration requirements
Define requirements and acceptance criteria for dashboards, analytical tools, visualizations, and self-service reporting
Analyze mission and operational data to identify 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 support UAT 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 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 after implementation against KPIs, baselines, and expected benefits
Present findings, requirements, recommendations, risks, and performance results to Government stakeholders and program leadership
Coordinate with Agile delivery teams to refine and prioritize backlog items, clarify requirements, resolve questions, and support sprint demonstrations and reviews
Maintain requirements, process documentation, decision logs, meeting records, traceability artifacts, and other program documentation
Support continuous improvement by incorporating user feedback, analytical findings, testing results, and lessons learned into future requirements and backlog priorities

Requirements

What you’ll need

Active Secret clearance or higher
Bachelor’s degree in information systems, business, or a related field, or a permitted equivalent
Minimum of eight years of relevant professional experience
Experience performing requirements analysis for complex business, data, or technology initiatives
Experience developing and managing user stories and measurable acceptance criteria
Experience 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 working with business stakeholders and technical teams to translate mission needs into implementable 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 communicate complex data, AI, and technical concepts clearly to technical and nontechnical audiences
Strong written communication, facilitation, analytical, and documentation skills
Advanced or additional business analysis certification, such as CBAP, PMI-PBA, or a comparable 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 intended to reduce inaccurate or unsupported outputs (preferred)
Experience with 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 familiarity with data models, dashboard design, or Data Analysis Expressions (preferred)
Familiarity with DoD Impact Level 4 environments or comparable 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

Comp & perks

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