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Job Description & How to Apply Below
About
The Role
At Zoom Info we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. If you are collaborative, take initiative, and get stuff done we want to talk to you! We have high aspirations for the company and are looking for the right people to help fulfil the dream. We strive to continually improve every aspect of the company and use cutting-edge technologies and processes to delight our customers and rapidly increase revenue.
The Manager, Data Research will lead a team of research analysts responsible for a variety of data collection, data quality, and model training initiatives. The manager will work closely with cross-functional teams — including Engineering, Data Science, and Product — to drive initiatives that directly impact the quality and integrity of data across the Zoom Info platform. This position will report directly to the Director, Data Research.
This is a high-visibility role within an exciting area of the business, offering the opportunity to gain deep domain expertise across data research, AI-driven automation, and large language model (LLM) applications in a real-world data environment.
What You'll Do
Lead, coach, and develop a team of research analysts focused on company and contact data quality initiatives
Drive and track efficiency improvements through process optimization, automation, and AI/LLM-powered workflows
Identify and implement opportunities to leverage AI and large language models (LLMs) to automate research tasks, improve data accuracy, and scale team output
Collaborate with Data Science and Engineering teams to contribute to model training initiatives, providing high-quality labeled data and structured feedback loops
Manage project lifecycle from scoping through execution, ensuring timely delivery and measurable outcomes
Diagnose and report on data quality issues, conducting root cause analyses and driving remediation at scale
Define, track, and report on team KPIs and efficiency metrics
Create and maintain technical documentation, process guides, and standard operating procedures
Partner with analytics and engineering teams to drive process and data improvements
Assist in evaluating and integrating emerging AI tools and agent-based workflows into day-to-day research operations
What You Bring
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 — including prompt engineering, AI agent development, LLM-assisted data workflows, or model training data preparation
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 Big Query 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 (e.g., employee count, industry, titles, emails, funding, etc.)
Available to work hours partially overlapping with PST business hours
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, Big Query, or CERA
About Us
Zoom Info (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a…
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