Sr. AI Business Analyst
Indexed description
Only considering USC/GC on w2
candidates have to be local to the Tampa bay area
Sr. AI Business Analyst
Location: St. Pete, FL (Hybrid)
Duration: Long term contract (to hire)
Skills:
- Minimum of 7+ years of business analysis, systems analysis, product analysis, or related experience.
- Strong experience gathering, analyzing, and documenting well-formed business and functional requirements.
- Experience working directly with business units and technology teams to translate business needs into actionable delivery artifacts.
- Experience writing user stories, acceptance criteria, business rules, process flows, use cases, data requirements, and functional specifications.
- Experience using AI-assisted tools or techniques to support requirements development, documentation, analysis, summarization, or backlog refinement.
- Strong understanding of business process analysis, workflow design, decision logic, exception handling, and operational process improvement.
- Ability to analyze deterministic rules-based processes as well as judgment-based business decisioning.
- Experience supporting Agile delivery teams and working with product owners, developers, QA, architects, and business stakeholders.
- Strong communication, facilitation, analytical, problem-solving, and documentation skills.
- Ability to manage ambiguity, drive clarity, and produce high-quality requirements in a fast-paced delivery environment.
Preferred Experience and Skills
- Financial Services experience or experience in a highly regulated enterprise environment.
- Experience supporting AI-enabled solutions, workflow automation, intelligent automation, or agentic workflow initiatives.
- Experience documenting human-in-the-loop processes, decision trees, rules engines, exception handling, or operational controls.
- Experience with tools such as Jira, Confluence, Azure DevOps, Visio, Lucidchart, Miro, or similar platforms.
- Experience with data mapping, API requirements, system integrations, reporting requirements, or enterprise application modernization.
- Experience supporting testing, UAT coordination, production validation, and business readiness activities.
- Experience with compliance, risk, audit, privacy, data governance, or model governance considerations related to AI-enabled solutions.
- Experience leading other analysts, coordinating analysis work across initiatives, or mentoring junior business analysts.
Education:
- Bachelor's degree in Business Administration, Computer Science, MIS, Finance, or a related discipline, or equivalent combination of education, training, and experience.
- Minimum of 7+ years of business analysis, systems analysis, product analysis, or related experience.
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