Senior Development Lead - Advanced RPA

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.

Skill Requirements

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.

Other Requirements