Lead/Principal Business Analyst (Data, Insights & AI)

Cvent is a leading meetings, events, and hospitality technology provider with more than 4,800 employees and ~22,000 customers worldwide, including 53% 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.

The DNA of Cvent is our people, and our culture has an emphasis on fostering intrapreneurship – a system that encourages Cventers to think and act like individual entrepreneurs and empowers them to take action, embrace risk, and make decisions as if they had founded the company themselves. At Cvent, we value the diverse perspectives that each individual brings. Whether working with a team of colleagues or with clients, we ensure that we foster a culture that celebrates differences and builds on shared connections.

About the Role

Business Analyst

You will own the project pipeline end-to-end — from intake and prioritization through execution and adoption — ensuring delivery of high-impact initiatives that advance our data and AI strategy.

The role requires strong knowledge of data platforms (Snowflake, Databricks), Python, BI tools, and emerging AI technologies, with the ability to apply first-principles thinking to modernize analytics and engineering functions.

Ideal candidates bring a unique blend of business acumen, technical fluency, program leadership, and stakeholder management skills to deliver measurable impact in complex environments.

Key Responsibilities:

Business Analysis & Strategy

• Partner with stakeholders to define business objectives, challenges, and opportunities in data and AI.
• Translate needs into clear requirements, use cases, and success metrics.
• Conduct feasibility analysis, cost-benefit assessments, and business cases for executive decision-making.
• Shape the

  data & AI roadmap

  , ensuring alignment with organizational strategy and measurable value.
• Support governance, compliance, and ethical AI adoption.

Project Management & Execution

• Lead project intake: prioritize, scope, and align initiatives with business goals.
• Manage cross-functional programs end-to-end, ensuring delivery on time and within scope.
• Collaborate with Scrum Masters and engineering leads to enable effective Agile practices.
• Define acceptance criteria, track delivery, and validate outputs against business outcomes.
• Anticipate risks, resolve dependencies, and drive issue resolution with leadership.
• Champion continuous improvement to scale delivery practices.

Stakeholder & Executive Communication

• Act as a trusted advisor to executives, presenting insights and recommendations clearly.
• Deliver executive-ready presentations, dashboards, and program updates.
• Build strong partnerships with stakeholders across business, product, engineering, and analytics.
• Facilitate workshops, requirement sessions, and steering committee discussions.
• Drive adoption and change management through training and structured communication.

Technical & Data Orientation

• Understand data ecosystems, governance, and AI/ML workflows to bridge business and technical teams.
• Partner with engineers and data scientists to ensure accurate implementation of requirements.
• Stay ahead of emerging trends in AI, analytics, and automation, recommending innovative applications.
• Promote best practices in

  data quality, lineage, security, and compliance

  .
• Support prototyping and proofs of concept for AI/ML use cases.

Core BA Responsibilities

• Document requirements, user stories, and process flows.
• Conduct

  gap and root-cause analyses

  and recommend process improvements.
• Maintain documentation, version control, and knowledge repositories.
• Support testing and validation to ensure business value realization.
• Lead change management, adoption, and continuous stakeholder engagement.

Qualifications:

• Bachelor’s degree in Business, Analytics, Computer Science, Engineering, Economics, or related field (Master’s preferred).
• 10+ years of experience in business analysis, consulting, or program management within data, AI, or analytics functions.
• Proven record managing high-visibility, cross-functional initiatives with measurable business or revenue impact.
• Strong executive presence with excellent communication, presentation, and storytelling skills.
• Ability to engage and influence stakeholders across Sales, Marketing, Customer Success, Product, and Analytics.
• Deep understanding of data management, customer data, CRM systems, analytics platforms, and AI/ML technologies.
• Proficiency in JIRA, Confluence, MS Project, PowerPoint, Power BI/Tableau/Sigma, Salesforce, and SQL basics; experience with cloud data platforms (Snowflake, Databricks, AWS/Azure/GCP) a plus.
• Experience in governance, compliance, and responsible AI practices preferred.
• Strong problem-solving, prioritization, and ambiguity management skills.
• Certifications in Agile, PMP, or Business Analysis (CBAP, PMI-PBA) a plus.