AI Business Analyst

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

Crowe's AI Y-Hire practice moves from foundational skills — requirements support, artifact creation, learning the craft — toward independent ownership of complex engagements. The AI Business Analyst operates at an experienced level, applying established business analysis skills across complex engagements while leveraging AI-enabled ways of working. At the entry level, a BA supports elicitation, assists with testing, and follows established standards. At this level, you lead elicitation, own testing programs, and extend standards to account for what AI-augmented delivery requires. This role expands traditional business analysis responsibilities by incorporating AI-enabled analysis, documentation, and delivery practices. In this role, you will facilitate workshops, synthesize information using AI-enabled tools, and translate insights into actionable deliverables that support project outcomes.

The AI Business Analyst at Crowe translates business needs into clear, actionable requirements for AI solutions, automation platforms, and development teams. This means applying business analysis fundamentals — elicitation, documentation, testing — through an AI-first operating model. You will use Gen AI tools including Claude Code as active instruments of analysis: interrogating process mining output to draft automation opportunity backlogs, generating first-pass test plans from acceptance criteria, and using LLM analysis to surface requirement gaps before they reach development. You will be responsible for delivering high-quality work products from discovery through user acceptance testing and implementation readiness. Operating from India, you will work in close partnership with US-based teams across client engagements in process optimization, Hyperautomation, and Gen AI solution delivery.

Discovery & Analysis 1. Lead structured discovery workshops with client stakeholders — using AI tools in session to capture, synthesize, and reflect back current-state processes, pain points, and desired outcomes in real time; produce structured outputs before the debrief. 2. Conduct process and task mining analysis using Microsoft Process Mining, Celonis, or equivalent platforms to surface high-ROI automation opportunities; translate event-log insights into prioritized opportunity backlogs with quantified business impact. 3. Analyze UX feedback, job aids, procedures, and existing process maps to identify candidates for further optimization; summarize findings and present recommendations with supporting data. 4. Proactively identify, analyze, and resolve requirement risks, gaps, and ambiguities — using LLM-assisted cross-reference of documentation to catch inconsistencies before they reach development; partner with stakeholders to resolve issues and appropriately escalate matters when additional guidance or decisions are required. Requirements & Solution Design 5. Elicit and document business, user, functional, and non-functional requirements with sufficient detail to support effective implementation of AI-enabled and traditional technology solutions — including decision logic, tool invocations, exception handling, and appropriate human review