Job Summary
Business Analyst
Role Overview
As a Business Analyst –, you will serve as a strategic bridge between business stakeholders and intelligent automation capabilities
Operating directly from the client environment, you will lead the identification, design, and scaling of agent-driven automation use cases, combining traditional RPA with AI agents, decision intelligence, and orchestration to transform business operations.
This is a senior, client-facing role responsible not just for analysis, but for shaping the enterprise’s Agentic Automation roadmap and value realization strategy.
Key Responsibilities
What You’ll Do
Agentic AI Strategy & Value Discovery
- Lead discovery workshops to identify high-value opportunities for Agentic AI, beyond deterministic automation.
- Translate business problems into agentic workflows involving AI agents, human-in-the-loop, and automation orchestration.
- Define and drive an Agentic Automation pipeline aligned to business priorities and measurable outcomes.
- Build business cases for AI agents including productivity gains, decision acceleration, and experience improvement.
Process Intelligence & Transformation
- Conduct deep-dive As-Is / To-Be analysis, incorporating:
- Autonomous decision-making layers
- Context-aware workflows
- Multi-agent collaboration scenarios
- Identify opportunities to augment processes with:
- AI agents
- Document understanding
- Generative AI-driven reasoning
- Leverage process insights (task/process mining, heatmaps) to recommend agentic transformation opportunities.
Solution Design Collaboration
- Partner with Solution Architects to design end-to-end Agentic Automation solutions.
- Define functional requirements for AI agents, including Decision boundaries, Human escalation logic, Context handling
- Ensure alignment between business intent and agent behavior design.
Stakeholder Leadership & Change Enablement
- Act as a trusted advisor to client stakeholders on Agentic AI adoption.
- Evangelize an “Agentic-first” mindset (beyond automation-first).
- Lead workshops, demos, and value storytelling around AI-driven operations.
- Drive stakeholder alignment across business, IT, and transformation teams.
Delivery & Governance
- Guide teams through implementation lifecycle:
- Discovery → Design → Build → Test → Deploy
- Facilitate agile ceremonies and ensure functional alignment throughout delivery.
- Resolve business and functional issues during execution.
Knowledge Building & Reusability
- Identify and document reusable agentic patterns and blueprints.
- Develop case studies, value narratives, and adoption frameworks for enterprise scaling.
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Success in This Role Looks Like
- Enterprise-wide adoption of Agentic AI use cases
- Measurable business impact through AI-driven decision automation
- Strong pipeline of scalable, reusable agentic solutions
- Stakeholder confidence in AI-led transformation initiatives