AI Business Analyst
- Coral Gables, FL
- Permanent
- Full-time
- Coordinate the analysis and documentation of business and AI solution requirements by capturing current and future-state processes, data inputs/outputs, and AI integration needs.
- Develop and maintain detailed documentation including AI-specific business requirements, model expectations, training data characteristics, functional specifications, project timelines, process flows, and user stories tailored to intelligent systems.
- Managing project documentation, requirements, and updates within JIRA and Confluence.
- Ensure traceability between business goals and technical AI implementation across Internal and External platforms.
- Anticipate and interpret evolving business needs in the context of automation, decision intelligence, and AI enablement.
- Collaborate with data ops, MLOps, and IT teams to translate ambiguous or conceptual business objectives into actionable, measurable AI-driven solutions.
- Support the definition of evaluation criteria (e.g., model accuracy, performance thresholds, explainability) that align with business value.
- Partner closely with IT PMO, Internal and External Development Teams (especially AI/ML engineers and product owners), and Subject Matter Experts to ensure accurate, aligned execution of AI projects.
- Act as a bridge between business stakeholders and AI solution architects to ensure model outputs, training logic, and automation flows meet business needs.
- Actively engage in the full Software Development Life Cycle (SDLC), with emphasis on AI lifecycle elements such as data acquisition, feature engineering, model selection, training, validation, deployment, and monitoring.
- Help define AI model lifecycle management processes including version control, performance degradation alerts, and re-training cycles.
- Analyze AI-enhanced business processes to uncover pain points, improvement opportunities, and areas suitable for predictive modeling, generative automation, or intelligent routing.
- Propose and validate AI solutions through feasibility analysis and cost/benefit assessments.
- Conduct workshops to explore AI opportunities, communicate data needs, and align stakeholders on AI use case viability.
- Present proposals, model findings, and outcomes in business-friendly language to executives and project sponsors.
- Facilitate solution walkthroughs and model demos to validate requirements and gain sign-off.
- Work with IT Governance team to proactively identify risks and ethical considerations associated with AI solutions, including bias, model drift, and data privacy.
- Responsible for translating identified risks and ethical considerations to the relevant stakeholders.
- Document, monitor, and help resolve project risks and blockers in collaboration with delivery leads and technical teams.
- Communicate complex AI concepts, limitations, and trade-offs clearly to both technical and non-technical audiences.
- Work with solution teams to prepare presentations for executive leadership, articulating the strategic impact and progress of AI initiatives.
- Anticipate and understand business expectations and recommend the most appropriate response to complex or ambiguous requirements.
- Translate user feedback and AI performance metrics into refined requirements and enhancements.
- Bachelor's Degree – Information Technology, Engineering, Business Administration or Finance preferred.
- At least 5 years of experience in a role such as Business Analyst, Process Engineer, or Business Process, preferably in a PMO or technology-driven environment.
- Exposure to AI, machine learning, or data-driven projects.
- Proficiency in tools such as Microsoft Office, Confluence, JIRA, SQL, Python, ChatGPT, Azure or similar.
- Strong knowledge of business analysis techniques and methodologies (e.g. BABOK, Agile).
- Should be capable of showing experience in transforming or enhancing a process.
- Possess superior communication and interpersonal skills, along with the capacity to resolve problems effectively.
- Proficiency with various Microsoft programs, skilled in analyzing data sets and assessing process flows, complemented by research and design expertise.
- Exceptional skills in writing and documentation, inclusive of both technical details and business communication.
- Demonstrated success in collaborating with multidisciplinary teams and overseeing third-party solution deployments.
- Familiarity with Agile and Waterfall methodologies.
- Relevant certifications (e.g. CBAP, PMP, ITIL) are a plus