Senior Technical Content Analytics Manager

Own the measurement and improvement of technical interview content quality through analytics, dashboards, AI automation, and root-cause analysis. The role requires 6+ years in analytics or strategy, strong SQL and large-scale data expertise, executive communication, and residence in Mexico City.

About the job

Responsibilities

Design, build, and maintain dashboards, metrics, and automated monitoring systems for interview content health and performance.
Measure and monitor content quality, including score distributions, content equivalence, cheating indicators, and score clustering.
Use AI solutions and agentic automation to scale content-quality monitoring, investigation, and improvement.
Develop theories, perform root-cause analyses, and validate solutions through data-driven processes.
Maintain feedback loops with Content Development and Architect teams to prevent recurring issues.
Monitor business and content-performance indicators and escalate concerning trends to leadership.
Serve as the subject matter expert on content quality, communicating trends, risks, recommendations, and performance updates to content leadership and executive stakeholders.

Requirements

6+ years of experience in analytics or strategy roles with ownership of business outcomes.
Professional experience using modern AI tools such as Claude and GPT for complex data analysis and agent-based automation workflows.
Proven success leading data-driven strategy at scale.
Deep expertise in SQL and large-scale data analysis.
Fluency with data visualization and business intelligence tools.
Strong critical-thinking and problem-solving abilities.
Executive-level written and verbal communication skills.
Native-level English proficiency.
Comfort working with significant autonomy and accountability in ambiguous, fast-changing environments.
Candidates must reside in Mexico City and be authorized to work in Mexico; visa sponsorship is not provided.