OverviewDecisionPoint 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.
Duties & Responsibilities
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 validation, operational-risk controls, appropriate human oversight, and escalation paths.
- Measure mission impact following implementation and compare delivered outcomes with established 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.
Qualifications
Required Qualifications
Candidates must meet all the following requirements:
- Active Secret clearance or higher.
- Bachelor27s 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.
Preferred Qualifications
The following qualifications are preferred but are not required:
- Advanced or additional business analysis certification, such as CBAP, PMI-PBA, or a comparable credential.
- Additional Agile certification, such as Certified ScrumMaster, Professional Scrum Master, or PMI Agile Certified Practitioner.
- Experience supporting federal or Department of Defense programs.
- Experience working with AI, machine learning, intelligent automation, or agent-based solutions.
- Experience defining requirements for AI training, validation, or testing datasets.
- Familiarity with responsible AI principles, AI output validation, model-performance monitoring, model drift, and controls intended to reduce inaccurate or unsupported outputs.
- Experience with data governance, data quality, metadata management, data warehouses, or extract-transform-load processes.
- Experience developing requirements for business intelligence platforms, dashboards, data visualizations, or self-service reporting.
- Experience with Microsoft Power BI, including familiarity with data models, dashboard design, or Data Analysis Expressions.
- Familiarity with DoD Impact Level 4 environments or comparable controlled-data environments.
- Experience using requirements, backlog, and traceability tools such as Jira, Azure DevOps, or comparable platforms.
- Experience measuring operational benefits, user adoption, mission impact, or return on technology investments.
Skills
- Business and mission requirements analysis.
- AI use-case evaluation and prioritization.
- Data and reporting requirements definition.
- KPI and performance-measure development.
- Workflow and business-process mapping.
- User-story and acceptance-criteria development.
- Requirements traceability.
- User acceptance testing coordination.
- Data analysis and interpretation.
- Stakeholder facilitation and consensus building.
- Clear technical and executive-level communication.
- Strong attention to detail and documentation quality.
- Ability to coordinate multiple stakeholders, priorities, and technical workstreams.
