Manager

<div class="content-intro"><p>ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.</p></div><p>&nbsp;</p> <p><strong>About the Role:</strong></p> <p>At <strong>ZoomInfo</strong> 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.&nbsp;</p> <p>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 ZoomInfo platform. This position will report directly to the Director, Data Research.</p> <p>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.</p> <p><strong>What You'll Do:</strong></p> <ul> <li>Lead, coach, and develop a team of research analysts focused on company and contact data quality initiatives</li> <li>Drive and track efficiency improvements through process optimization, automation, and AI/LLM-powered workflows</li> <li>Identify and implement opportunities to leverage AI and large language models (LLMs) to automate research tasks, improve data accuracy, and scale team output</li> <li>Collaborate with Data Science and Engineering teams to contribute to model training initiatives, providing high-quality labeled data and structured feedback loops</li> <li>Manage project lifecycle from scoping through execution, ensuring timely delivery and measurable outcomes</li> <li>Diagnose and report on data quality issues, conducting root cause analyses and driving remediation at scale</li> <li>Define, track, and report on team KPIs and efficiency metrics</li> <li>Create and maintain technical documentation, process guides, and standard operating procedures</li> <li>Partner with analytics and engineering teams to drive process and data improvements</li> <li>Assist in evaluating and integrating emerging AI tools and agent-based workflows into day-to-day research operations</li> </ul> <p><strong>What You Bring:</strong></p> <ul> <li>Minimum 12 + years of overall experience in data research, data operations, or a related field</li> <li>1–2+ years of people management or team leadership experience</li> <li>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</li> <li>Familiarity with tools such as ChatGPT, ZI Chat, or similar AI platforms applied in an operational or research context</li> <li>Experience working with large datasets and strong attention to data quality and accuracy</li> <li>Proficiency in SQL; experience with Snowflake or BigQuery is a plus</li> <li>Experience defining and tracking KPIs and operational metrics</li> <li>Strong cross-cultural communication skills and ability to work across distributed, global teams</li> <li>Self-motivated, innovative, and comfortable moving between strategy, coaching, and hands-on execution</li> <li>Experience researching company and contact data (e.g., employee count, industry, titles, emails, funding, etc.)</li> <li>Available to work hours partially overlapping with PST business hours</li> </ul> <p><strong>Nice to Have:</strong></p> <ul> <li>Experience building or deploying AI agents for operational workflows</li> <li>Background in data labeling, annotation, or model feedback for ML/AI systems</li> <li>Familiarity with data platforms such as Snowflake, BigQuery, or CERA</li> </ul> <p>&nbsp;</p> <section class="account-page__wrapper page-layout page-layout--primary-panel-workspace page-layout--large" data-test-settings-wrapper="" data-test-page-layout=""> <div class="page-layout__grid-container"> <div class="page-layout__workspace" data-test-page-layout-workspace=""> <div class="account-page-workspace-content" data-test-account-page-workspace="" data-artdeco-is-focused="true"> <div class="setting-container"> <div class="setting-group" data-test-promotion-settings-page=""> <div class="setting-group__list"> <div class="ember-view setting-group-item promotion-settings-page__item" data-test-selector="setting-group-item"> <div class="setting-item-core__grid-container" data-test-setting-item="form-closed" data-test-promotion-tag-setting="" data-live-test-promotion-tag-setting="" data-live-test-setting-item=""> <div class="setting-item-core__right-pane"> <div class="ember-view setting-item-core__state t-14 t-black--light" data-test-selector="setting-item-core-state" data-test-promotion-tag-setting-state="">#LI-VG3</div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </section> <section class=""></section> <div id="ember267" class="ember-view messaging-side-panel__overlay"></div> <div class="ember-view messaging-side-panel__overlay">#LI-Hybrid</div> <p>&nbsp;</p><div class="content-conclusion"><p><strong>About us:</strong>&nbsp;</p> <p>ZoomInfo (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 complete view of their customers, making every seller their best seller.</p> <p>ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant <a href="https://drive.google.com/file/d/1yiG-k0YX_sW10PiJk_xliDc3W-veJCrK/view?usp=drive_link">Privacy Notice</a> for more details on how we handle your personal information.</p> <p>ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available <a href="https://www.zoominfo.com/legal/nyc-local-law-144-notice">here</a>.</p> <p>ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.</p> <p>For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.</p></div>