Senior Implementation Consultant

Cvent Implementation Team | Full-Time | AI-Augmented Role

The Cvent Implementation team configures and deploys Cvent software for new and existing clients. Our mission is to provide expert guidance and hands-on technical execution so every client successfully launches, adopts, and realizes value from their Cvent products.

The role blends project management, technical configuration, and client-facing consulting — and increasingly, the smart use of AI tools to move faster, reduce manual work, and give clients a sharper, more consultative experience. This is no longer just a configuration role: it's a role where the best performers use AI as a force multiplier across research, documentation, testing, and client communication.

As a Senior Implementation Analyst / Implementation Lead, you will own mid-to-complex client implementations end-to-end — from discovery and process mapping through configuration, testing, training, and go-live. You'll act as a trusted advisor to clients, a hands-on product expert, and a mentor to junior team members, while leveraging AI tools to accelerate delivery and improve quality at every stage of the project lifecycle.

Provide high-level consultation to clients on applying Cvent technology to meet their meetings and events program goals.

Analyze current-state processes and map future-state workflows to Cvent solutions, identifying opportunities for automation along the way.

Serve as a product specialist — deeply knowledgeable across Cvent products, able to demonstrate, consult, configure, test, train, and deploy solutions.

Cultivate strong advisory relationships with key client stakeholders who influence adoption and long-term account health.

Apply structured project management discipline — scoping, planning, RAID logs, milestone tracking, and change control — to manage simple-to-complex implementations, keeping timelines on track and proactively escalating barriers to success.

Translate customer goals into objective, measurable success criteria (e.g., adoption rate, time-to-value, process cycle time, cost savings, ROI) rather than relying on subjective or anecdotal measures of progress.

Define and track KPIs and success metrics with clients at project kick-off, and report progress against them throughout the engagement so success is data-driven, not just directional.

Oversee and/or configure client accounts, including testing, refining, and directing the contributions of other team members.

Track time and profitability of implementation projects, providing recommendations on streamlining, automation, or process redesign.

Coordinate and conduct virtual user training sessions for client teams.

Configure, test, and refine Cvent product instances to match documented client requirements.

Diagram intermediate-to-complex process flows and identify opportunities to streamline and improve efficiency.

Interface with the Product Development team to define and convey client feature requests.

This is where the role has evolved most. AI is now a core part of how implementation work gets done, not an optional add-on:

Use generative AI tools (e.g., Claude, Copilot) to draft, summarize, and refine requirements documents, process maps, and configuration workbooks — cutting documentation time and improving consistency across projects.

Apply AI-assisted meeting summarization and transcription tools during discovery calls and configuration workshops to speed up note-taking, action-item tracking, and follow-up communications.

Identify and build lightweight automations or AI-agent workflows for repetitive project tasks — status updates, test-case generation, training material drafts, and client FAQs — freeing up time for higher-value consulting.

Maintain quality and accuracy as a human-in-the-loop reviewer: validating AI-generated configurations, documentation, and communications before they reach the client.

Model and mentor AI tool adoption to junior team members and peers, helping the broader team adopt AI-first ways of working.

Use AI-powered analytics on data such as usage patterns, support tickets, or historical project data to proactively flag risk and improve implementation quality.

Partner with Sales and Account Management to support sales activities where implementation expertise is a differentiator.

Ensure client objectives and requirements are clearly conveyed and tracked throughout the implementation lifecycle.

Serve as a mentor to new team members, including on best practices for using AI tools responsibly and effectively.

Present internally as a subject-matter expert on implementation topics, lead conversations in team meetings, and participate in team committees, at times in a leadership capacity.

Ability to pivot quickly on customer situations — reworking scope, timelines, or approach mid-project when client needs, priorities, or constraints shift unexpectedly.

Comfort operating through significant change management within a project (new stakeholders, revised requirements, shifting priorities) with flexibility rather than resistance to the change.

Proven ability to multitask and stay effective under pressure — juggling competing deadlines, client escalations, and internal priorities without losing quality or composure.

Willingness and ability to manage through non-ideal or ambiguous situations — messy data, incomplete requirements, tight timelines — rather than waiting for perfect conditions to make progress.

Hands-on, practical experience using generative AI tools (e.g., Claude, ChatGPT, Copilot) to accelerate day-to-day work — documentation, research, communications, or analysis.

Comfort working in a human-in-the-loop capacity: reviewing, validating, and correcting AI-generated outputs before they go to clients.

Curiosity and adaptability toward emerging AI-powered workflow and automation tools, with a willingness to experiment and share learnings with the team.

Basic understanding of how AI agents and automated workflows can be applied to client onboarding, configuration, or reporting tasks (formal AI/ML background not required).

Experience with AI-assisted meeting transcription/summarization tools (e.g., Azure, Copilot, Glean, Claude).

Prior exposure to no-code/low-code automation platforms (e.g., Zapier, Power Automate) or agentic workflow builders.

Project management certification such as PMP, PRINCE2, or Agile/Scrum (CSM, PMI-ACP) good to have, not required.

Six Sigma (Green Belt or higher) or equivalent process-improvement certification.