Cvent
From Cvent's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
We’re looking for candidates who are eager to evolve alongside technology.
Cvent is a leading meetings, events, and hospitality technology provider with more than 6,000+ employees and 34,000+ 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.
Recruitment Scam Notice: Beware of recruitment scams. Legitimate Cvent recruiting communications will come from accounts formatted as “name@cvent.com” email address. Cvent will never request payment or ask for sensitive personal or financial information through chat or social media platforms. Cvent is not responsible for losses or damages arising from communications, payments, or disclosures made to third parties impersonating Cvent.
If you believe a communication may be fraudulent, we strongly recommend that you don't respond and report the incident at recruitingindia@cvent.com.
For more information, visit Cvent’s Recruitment Fraud Notice. https://www.cvent.com/en/notice-recruitment-fraud.
In this role, you will lead strategic, data & AI driven initiatives across lead generation, customer insights, sales enablement, operational efficiency and revenue growth initiatives. In this leadership role, you’ll guide cross-functional analytics programs from strategy to execution, delivering actionable insights that influence key business outcomes across departments including Sales, Marketing, Finance, Customer Success and Product. You’ll work closely with executive stakeholders to ensure analytics initiatives are aligned with business goals, while also establishing scalable systems and best practices that raise the organization’s analytics maturity. This role is ideal for someone who blends strong business acumen with technical insight and thrives in fast-paced, collaborative environments.
Strategic Analysis & Insight Development
Convert customer and revenue growth goals into clear analytics strategies with measurable outcomes.
Develop business cases and cost-benefit analyses to guide project prioritization.
Establish standardized, scalable analytics processes and reusable data products.
Leadership & Project Execution
Own the analytics project intake process, ensuring alignment with business priorities.
Lead high-impact, cross-functional initiatives from planning to delivery.
Collaborate with teams to validate requirements, refine deliverables, and measure success.
Identify and manage project risks and dependencies proactively.
Stakeholder Engagement & Communication
Act as a strategic partner to senior leadership by providing data-driven recommendations that guide decision-making.
Prepare executive-ready reports, dashboards, and presentations that clearly convey impact.
Facilitate collaboration workshops and planning sessions to align teams on analytics initiatives.
Technical & Data Leadership
Align business objectives with technical delivery by understanding data architecture, platforms, and systems.
Partner with data teams to build scalable, high-quality analytics solutions.
Monitor emerging trends in AI, machine learning, and customer intelligence to drive innovation.
Core Management Accountabilities
Document and manage business requirements, user stories, and analytics workflows.
Conduct process and gap analyses to continuously improve data delivery.
Support validation, user acceptance testing (UAT), and system adoption.
Maintain up-to-date documentation and knowledge-sharing practices.
Drive change management initiatives to ensure successful implementation of analytics tools and insights.
15+ years of experience in analytics, business analysis, consulting, or program management - preferably in data, AI, or tech-driven environments.
Deep understanding of AI & LLM models
Track record of leading high-impact, cross-functional projects with measurable business results.
Strong leadership presence with outstanding communication, presentation, and storytelling skills.
Proven ability to engage, influence, and build relationships with stakeholders across functions.
Deep knowledge of data ecosystems, CRM systems, analytics platforms, and modern AI/ML technologies.
Proficiency in Python, SQL, BI platforms (Power BI, Tableau, Sigma). Experience with cloud platforms (Snowflake, Databricks, Salesforce, JIRA) is a plus.
Experience in data governance, compliance, or ethical AI practices is an advantage.
Strong analytical thinking, prioritization, and decision-making capabilities.
Strategic Analysis & Insight Development
Convert customer and revenue growth goals into clear analytics strategies with measurable outcomes.
Develop business cases and cost-benefit analyses to guide project prioritization.
Establish standardized, scalable analytics processes and reusable data products.
Leadership & Project Execution
Own the analytics project intake process, ensuring alignment with business priorities.
Lead high-impact, cross-functional initiatives from planning to delivery.
Collaborate with teams to validate requirements, refine deliverables, and measure success.
Identify and manage project risks and dependencies proactively.
Stakeholder Engagement & Communication
Act as a strategic partner to senior leadership by providing data-driven recommendations that guide decision-making.
Prepare executive-ready reports, dashboards, and presentations that clearly convey impact.
Facilitate collaboration workshops and planning sessions to align teams on analytics initiatives.
Technical & Data Leadership
Align business objectives with technical delivery by understanding data architecture, platforms, and systems.
Partner with data teams to build scalable, high-quality analytics solutions.
Monitor emerging trends in AI, machine learning, and customer intelligence to drive innovation.
Core Management Accountabilities
Document and manage business requirements, user stories, and analytics workflows.
Conduct process and gap analyses to continuously improve data delivery.
Support validation, user acceptance testing (UAT), and system adoption.
Maintain up-to-date documentation and knowledge-sharing practices.
Drive change management initiatives to ensure successful implementation of analytics tools and insights.
15+ years of experience in analytics, business analysis, consulting, or program management - preferably in data, AI, or tech-driven environments.
Deep understanding of AI & LLM models
Track record of leading high-impact, cross-functional projects with measurable business results.
Strong leadership presence with outstanding communication, presentation, and storytelling skills.
Proven ability to engage, influence, and build relationships with stakeholders across functions.
Deep knowledge of data ecosystems, CRM systems, analytics platforms, and modern AI/ML technologies.
Proficiency in Python, SQL, BI platforms (Power BI, Tableau, Sigma). Experience with cloud platforms (Snowflake, Databricks, Salesforce, JIRA) is a plus.
Experience in data governance, compliance, or ethical AI practices is an advantage.
Strong analytical thinking, prioritization, and decision-making capabilities.
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