AI Business Analyst

I have a full time opportunity for an AI Business Analyst to join one of our top tier investment firms to work on the AI team. This is a full time opportunity working on some new AI initiatives for the firm. This is 4 days onsite, 1 day remote. Salary $110-$120k + bonus. Responsibilities In partnership with the AVP on the team, you will partner with business stakeholders and IT teams to identify, qualify, and prioritize AI opportunities that enhance decision-making, accuracy, and efficiency. Facilitate workshops, structured interviews, and working sessions with bankers and support functions to understand workflows, pain points, and desired outcomes. Act as a trusted bridge between technical teams and business users, ensuring clear communication and alignment throughout the project lifecycle. Present findings, recommendations, and project updates to cross-functional teams and management, tailoring message and detail to the audience. Own the end-to-end requirements process for assigned AI initiatives, from discovery through sign-off. Document and refine business requirements, user stories, and acceptance criteria for AI-driven solutions. Create and maintain artifacts such as process maps, swim lane diagrams, data flow diagrams, and use-case briefs. Translate complex business needs into actionable technical deliverables for engineering and data science teams and support backlog prioritization in Agile ceremonies where applicable. Analyze existing business processes and data flows to identify bottlenecks, manual work, and automation opportunities. Design workflows and process flows that align business use cases with AI capabilities (e.g., generative AI assistants, intelligent document processing, AI agents). Collaborate with data scientists and engineers to prototype, test, and deploy AI solutions, providing structured feedback and ensuring business requirements are met. Coordinate and support user acceptance testing (UAT), including test case definition, execution tracking, and defect triage. Ensure solutions are scalable, secure, and aligned with organizational goals, controls, and standards. Define and track KPIs and success metrics for AI use cases (e.g., time saved, accuracy improvements, revenue enablement, error reduction). Analyze usage patterns, performance metrics, and business outcomes from deployed AI tools; synthesize insights into clear recommendations. Support documentation related to model behavior, data lineage, controls, and explainability in partnership with risk, legal, and compliance teams. Research emerging AI technologies and platforms, especially generative AI, large language models, and workflow automation tools, and assess their applicability to investment banking workflows. Benchmark company's initiatives against external market trends and best practices in AI for financial services. Contribute to internal best practices, playbooks, and templates for AI business analysis. Help develop training materials, demos, and change management plans to drive adoption and AI literacy across the firm. Qualifications Bachelor's Degree required, with preferred emphasis in Information Systems, Data Science/Analytics, Computer Science, Finance or related field 2 – 4 years of experience as a Business Analyst or similar role Experience within financial services industry is preferred, however, candidates from all backgrounds will be considered Excellent communication and stakeholder management abilities; able to influence, synthesize input from multiple parties, and drive alignment. Strong analytical and problem-solving skills; able to turn qualitative and quantitative data into clear insights and action. Advanced skills in Microsoft Excel, PowerPoint, and Word, including building structured analyses and executive-ready presentations. Experience working with Python (and ideally SQL or data analytics tools such as Power BI or Tableau) to explore data, run analyses, or prototype solutions. Familiarity with generative AI tools, large language models, or automation platforms (e.g., ChatGPT, Copilot, Gemini, Power Automate, UiPath) and an understanding of how they can be embedded in business workflows. Understanding of core software delivery concepts (e.g., Agile, backlog management, UAT, release planning). Senior Technical Recruiter, PRI Technology #J-18808-Ljbffr