Overview

Cvent is a leading meetings, events, and hospitality technology provider with more than 6,000+ employees and 24,000+ customers worldwide, including 60% of the Fortune 500. Founded in 1999, Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels, special event venues and destinations to help them grow their group/MICE and corporate travel business. Our technology brings millions of people together at events around the world. In short, we're transforming the meetings and events industry through innovative technology that powers the human connection.

Cvent's strength lies in its people, fostering a culture where everyone is encouraged to think like entrepreneurs, taking risks and making decisions confidently. We value diverse perspectives and celebrate differences, working together with colleagues and clients to build strong connections.

AI at Cvent: Leading the Future

Are you ready to shape the future of work at the intersection of human expertise and AI innovation At Cvent, we're committed to continuous learning and adaptation—AI isn't just a tool for us, it's part of our DNA. We're looking for candidates who are eager to evolve alongside technology. If you love to experiment boldly, share your discoveries, and help define best practices for AI-augmented work, you'll thrive here. Our team values professionals who thoughtfully integrate AI into their daily work, delivering exceptional results while relying on the human judgment and creativity that drive real innovation.

Throughout our interview process, you'll have the chance to demonstrate how you use AI to learn, iterate, and amplify your impact. If you're excited to be part of a team that's leading the way in AI-powered collaboration, we'd love to meet you.

For this role, design, build, and deploy AI-augmented automation solutions across Cvent's enterprise ecosystem. Combine deep RPA expertise with modern AI engineering — LLM integration, agentic workflows, and IDP — to eliminate manual work and accelerate operational velocity.

Role Overview

In This Role, You Will:

We are looking for a Technical Business Analyst who bridges business stakeholders and the AI & RPA delivery team. You will own requirements, process analysis, and solution blueprinting for automation and AI initiatives – ensuring every solution is grounded in measurable business value and delivered through a structured, agile lifecycle.

Key Responsibilities

Conduct process discovery sessions; produce BRDs, FRDs, process maps (BPMN), and BVR (Business Value Readiness) scorecards for AI and RPA opportunities.
Translate business requirements into UiPath PDDs/SDDs and AI agent workflow specs in close collaboration with developers and architects.
Manage the full Jira lifecycle per AI-DLC standards: Epics, grooming tasks, user stories (with acceptance criteria), UAT stories, and deployment tickets.
Evaluate AI applicability – LLMs, intelligent document processing, RAG, semantic search – and articulate trade-offs clearly to non-technical stakeholders.
Design and coordinate UAT test plans; manage defect triage and business sign-off.
Maintain the Automation Hub portfolio; keep idea cards, ROI data, and pipeline status accurate and current.
Prepare concise executive updates covering pipeline health, delivery status, and realised ROI.

Required Qualifications

Here's What You Need:

2–5 years of BA experience in IT, automation, or digital transformation programmes.
Functional knowledge of UiPath (Automation Hub, Studio, Orchestrator) – enough to review designs and assess feasibility without writing code.
Working understanding of AI capabilities: LLMs, prompt engineering, RAG pipelines, and agentic workflow concepts.
Proven track record of writing BRDs, user stories, and process maps that directly drive software or automation delivery.
Hands-on Jira/JSM experience for backlog management, sprint tracking, and stakeholder reporting.
Strong communication skills – confident engaging from frontline users to VP/CIO audiences.

Good to Have

Familiarity with AI frameworks and concepts (A2A, MCP, Vector DB, Zero Copy, Agent identity etc.) and enterprise platforms – Salesforce, Snowflake, Smartsheet, Confluence.
Experience with change management frameworks.

Key Tools

RPA & AI

UiPath (Automation Hub, Studio, Orchestrator, Maestro)

Claude APIs
Lang Eco system or similar

Delivery

Jira

JSM
Confluence
Smartsheet

Process

Visio / Lucid chart

Technical Business analyst - RPA & AI