Manager - Data Research

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. As a Manager, Data Research, you will lead a team of research analysts responsible for data collection, data quality, and model training initiatives. You will work closely with cross-functional teams to drive initiatives that directly impact the quality and integrity of data across the ZoomInfo platform.

Key responsibilities include:

• Leading, coaching, and developing a team of research analysts focused on company and contact data quality initiatives
• Driving and tracking efficiency improvements through process optimization, automation, and AI/LLM-powered workflows
• Identifying and implementing opportunities to leverage AI and large language models (LLMs) to automate research tasks, improve data accuracy, and scale team output
• Collaborating with Data Science and Engineering teams to contribute to model training initiatives, providing high-quality labeled data and structured feedback loops
• Managing project lifecycle from scoping through execution, ensuring timely delivery and measurable outcomes
• Diagnosing and reporting on data quality issues, conducting root cause analyses and driving remediation at scale
• Defining, tracking, and reporting on team KPIs and efficiency metrics
• Creating and maintaining technical documentation, process guides, and standard operating procedures
• Partnering with analytics and engineering teams to drive process and data improvements
• Assisting in evaluating and integrating emerging AI tools and agent-based workflows into day-to-day research operations

Requirements include:

• Minimum 12+ years of overall experience in data research, data operations, or a related field
• 1-2+ years of people management or team leadership experience
• Demonstrated hands-on experience working with AI/LLM use cases
• Familiarity with tools such as ChatGPT, ZI Chat, or similar AI platforms applied in an operational or research context
• Experience working with large datasets and strong attention to data quality and accuracy
• Proficiency in SQL; experience with Snowflake or BigQuery is a plus
• Experience defining and tracking KPIs and operational metrics
• Strong cross-cultural communication skills and ability to work across distributed, global teams
• Self-motivated, innovative, and comfortable moving between strategy, coaching, and hands-on execution
• Experience researching company and contact data

Nice to have:

• Experience building or deploying AI agents for operational workflows
• Background in data labeling, annotation, or model feedback for ML/AI systems
• Familiarity with data platforms such as Snowflake, BigQuery, or CERA