Lead a team of Grading Effectiveness Specialists to ensure consistent, high-quality grading practices.
Own audit strategy, execution oversight, and performance outcomes related to grading quality.
Drive continuous improvement by leveraging data insights and leading design, implementation, optimization of an AI-first grading audit infrastructure.
Define and own the grading audit framework and performance thresholds.
Oversee audit execution for consistency and measurable quality improvement.
Architect and scale AI-powered audit workflows using generative AI platforms.
Manage and develop a team, setting clear expectations and coaching for effectiveness.
Translate audit data into actionable insights and collaborate cross-functionally for improvement initiatives.

Minimum 4 years of combined experience across audit/quality operations and applied AI workflow design required.
Demonstrated hands-on experience applying generative AI tools (e.g., ChatGPT or similar platforms).
Experience designing or scaling quality control or audit systems required.
Data analytics experience required, including performance measurement and trend analysis.
2+ years of leadership or people management experience preferred.
Bachelor’s degree from an accredited institution required; Master’s degree preferred.
Ability to work onsite in Corporate or Campus location may be required based on role.

Associate Manager, AI-Enablement, Grading Effectiveness

Key skills