OpenAI Recruiting Ops Analyst

📋 Description

• • Build and maintain recurring recruiting reports, dashboards, and data audits for the Research Recruiting organization.
• • Analyze recruiting pipeline, funnel, scheduling, interviewer, and process data to identify trends, risks, and opportunities.
• • Use AI tools to automate repetitive operational tasks, improve reporting workflows, and accelerate research, documentation, and analysis.
• • Identify opportunities to enhance recruiting workflows through improved tooling, automation, and process design.
• • Support data quality and consistency across recruiting systems, trackers, and reporting inputs.
• • Coordinate light program management for recruiting operations initiatives, including tracking timelines, assigning owners, and ensuring follow-through.
• • Document and improve repeatable recruiting workflows, standard operating procedures (SOPs), and operating rhythms.
• • Partner with recruiters, sourcers, coordinators, and hiring stakeholders to gather requirements and resolve operational issues.
• • Prepare clear summaries and data-driven recommendations for team leads and leadership.
• • Maintain operational clarity and consistency by aligning reporting and processes with the goals of the Research Recruiting team.
• • Leverage data to surface inefficiencies and propose scalable solutions that increase recruiting team effectiveness.
• • Ensure operational projects are executed with precision, attention to detail, and timely delivery.
• • Collaborate cross-functionally to align recruiting operations with broader organizational goals and AI deployment priorities.
• • Contribute to the responsible and thoughtful adoption of AI tools within recruiting operations to enhance efficiency without compromising data integrity.
• • Translate complex data insights into actionable, practical next steps for non-technical recruiting and hiring teams.
• • Uphold high standards of data accuracy and process reliability in a fast-paced, evolving recruiting environment.
• • Support the Research Recruiting Operations and Programs Lead in scaling operations to meet the demands of cutting-edge AI research hiring.
• • Maintain awareness of evolving hiring needs in AI research and adapt operational systems accordingly.
• • Ensure compliance with internal data governance standards and external legal requirements, including fair chance hiring ordinances.
• • Contribute to a culture of continuous improvement by proactively identifying areas for operational refinement.
• • Communicate clearly and effectively in both written and verbal formats to ensure alignment across recruiting and hiring stakeholders.