Principal Consultant Data Governance

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Overview

Cvent is a leading meetings, events, and hospitality technology provider with more than 5,000+ 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.

Cvents 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.

As a Data Governance POC with AI expertise, you will play a critical role in managing and optimizing our organizations data assets, ensuring they are accurate, reliable, and accessible. Your responsibilities will include understanding Enterprise data flow and integrations, developing AI-driven strategies for data quality improvement, and supporting data governance initiatives. You will work closely with cross-functional teams to ensure seamless data operations and drive innovation in data management practices.

Key Responsibilities

Data Governance & Standardization

• Establish and maintain the enterprise data glossary, dictionary, and domain taxonomy, ensuring consistent definitions and understanding across systems and business units.
• Partner with data domain owners, stewards, and architects to define key business entities and data elements, including lineage, usage, and ownership.
• Work with the Enterprise Data Council (EDC) and domain SteerCos to ensure alignment between governance policies and operational needs.
  
  

• Enable structured and unstructured data for use by downstream systems such as LLMs, AI agents, and orchestration platforms (e.g., IBM Watson, Superblocks, Mercato, Clark).
• Collaborate with IT, data engineering, and analytics teams to make metadata discoverable and consumable for automation and AI workloads.
• Identify and prioritize data quality gaps that impede AI/ML use cases; propose and drive remediation plans.
  
  

• Partner with business users to translate requirements into data definitions, ensuring traceability from source to consumption.
• Document and standardize data flows, lineage, and ownership within the Snowflake environment and connected ecosystems.
• Support the program - objectives by embedding governance and metadata quality into project delivery milestones.
  
  

• Work closely with executives, product, IT, and analytics teams to ensure that data definitions support both business reporting and AI transformation goals.
• Communicate progress and challenges clearly to leadership; drive alignment through influence and domain expertise.
  
  

• Bachelor’s degree in Information Management, Computer Science, Data Science, or related field (Master’s preferred).
• 7+ years of experience in data governance, metadata management, or data architecture roles.
• Hands-on experience with Snowflake, Salesforce, Oracle, or similar enterprise data platforms.
• Familiarity with AI/ML data pipelines or metadata requirements for LLMs is a plus.
• Strong understanding of data quality, lineage, cataloging, and governance frameworks (e.g., DAMA-DMBOK).
• Excellent collaboration and communication skills, with ability to bridge technical and business conversations.
• Proven track record of delivering incremental, measurable improvements in data usability and governance maturity.
  
  

• Hybrid / remote flexibility depending on project needs.
• Collaborates cross-functionally with IT, business units, and AI enablement teams.
• May support multiple concurrent data domains.