Manage AI and automation projects end-to-end — from scoping and prioritization through to delivery and stakeholder sign-off — ensuring timelines, dependencies, and risks are actively tracked
Build and maintain data pipelines that feed operational dashboards and AI models
Conduct root cause analysis on performance fluctuations, augmented by AI tooling
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Create, develop and/or review business requirements documents (BRD), process definition documents (PDD) and solution design documents (SDD).
Deliver process automations in onsite and remote client engagements to drive successful adoption.
Embrace the RPA implementation best practices. Implement and configure programs, scripts and objects that are efficient, well structured, reusable, maintainable and easy to understand.
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Establish and enforce platform-wide exception-handling frameworks, retry logic patterns, logging standards, and bot resilience design principles
Design intelligent automation pipelines incorporating UiPath Document Understanding, AI Center, and external ML models for unstructured data processing in reinsurance operations
Evaluate and architect hyperautomation solutions combining RPA, AI, process mining, low-code, and API automation to maximise end-to-end process coverage
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• Support AI Agent and Agentic Automation use cases including task execution, decision support, document understanding, process routing, and human-in-the-loop approvals.
• Work with UiPath Orchestrator and UiPath Maestro for workflow orchestration, monitoring, queue management, scheduling, deployment, exception handling, and operational support.
• Understand business requirements from PDD, SDD, process flows, and user discussions, and convert them into scalable technical automation solutions.
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