AI Business Analyst
New
S
Simple Technology SolutionsFederal AI
Remote positionFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- Minimum of 8 years of business or systems analysis experience on software delivery teams, including at least 2 years on projects that delivered AI, machine-learning, or data-intensive solutions
- Required Skills
- Business AnalysisFigmaJiraLLM
Requirements
- Bachelor’s degree in Business, Information Systems, Computer Science, or a related field.
- At least 8 years of business or systems analysis experience on software delivery teams, including at least 2 years on AI, machine-learning, or data-intensive projects.
- Experience writing use cases, user stories, and functional specifications used directly by engineers, and producing mockups or prototypes for user validation.
- Experience working with federal, state, or other public-sector stakeholders and navigating governance, security, and procurement constraints.
- Strong command of use-case-driven and spec-driven requirements methods, Jira backlog management, and Kanban and Scrum ceremonies.
- Proficiency with wireframing and prototyping tools such as Figma or Balsamiq, and with AI tools for drafting and analyzing requirements.
- Working understanding of LLM application behavior, including retrieval, agents, prompts, and model-output limitations.
- Familiarity with AWS AI services such as Amazon Bedrock and Amazon Q.
- AWS Certified AI Practitioner certification and Claude Certified Associate – Foundations (CCAO-F), to be earned within 12 months of hire.
- A master’s degree is a plus.
- Preferred certifications include CBAP or CCBA, CSPO or PSPO I, AWS Certified Cloud Practitioner, or a human-centered design or UX certification.
Responsibilities
- Elicit, analyze, and document AI application requirements with federal stakeholders and end users.
- Author and maintain use cases, mockups and prototypes, and specifications for each project.
- Validate mission fit by presenting mockups, prototypes, and working software to potential users and incorporating feedback into priorities.
- Use Claude and STS requirements agents and skills to draft and cross-check artifacts while owning their accuracy and completeness.
- Partner with the tech lead to groom and prioritize the backlog, decompose use cases into Jira cards, and maintain traceability to pull requests.
- Define acceptance criteria and expected AI behavior in partnership with the quality engineer.
- Model business processes, data flows, and integration points, identifying opportunities and risks for AI.
- Facilitate demos, user acceptance reviews, and feedback sessions, documenting decisions and changes.
- Document data handling, privacy, and responsible-AI considerations to support client compliance and governance.
- Contribute to requirements standards and templates, and support business development with discovery sessions and proposal content.
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