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Common BA title and mid-level experience increase applicants, but GenAI and process-mining specialization narrow the pool.
BA skills are transferable, but GenAI and process-mining consulting experience favors professional-services backgrounds.
High — explicit 1–3 years, mandatory daily GenAI tool usage, process-mining experience, and artifact ownership requirements.
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Own end-to-end business analysis for AI, automation, and traditional tech solutions, including elicitation, documentation, testing, and delivery readiness.
Lead structured discovery workshops using AI-enabled tools to capture processes and identify automation opportunities via process/task mining platforms.
Maintain requirements traceability, manage Agile backlogs, and lead testing programs including UAT coordination for Gen AI and automation projects.
1-3 years experience in business analysis, process optimization, or hyperautomation with direct exposure to AI/ML or Gen AI solution delivery.
Proficient daily user of Gen AI tools (Claude Code, Codex, Copilot Cowork or equivalent) applied to business analysis and documentation.
Bachelor’s degree in Business, Information Systems, Computer Science, Engineering, or related field (or equivalent experience).
Full professional proficiency in English communication and ability to work overlap hours approx. 6:30 PM – 12:30 AM IST with US teams.
Experienced in integrating Gen AI tools into business analysis and delivery workflows with strong ownership of requirements and testing validation.
Capable facilitator of discovery sessions producing structured, actionable documentation and managing client-facing engagements.
Comfortable working in a professional services or consulting environment collaborating closely with US-based stakeholders in a global delivery model.