Mentorship & Student Guidance Lead - Data-Driven

noon - education for everyone

As Sudiyah

On-site

OMR 34,000 - 51,000

Full time

6 days ago
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Job summary

Noon Academy is seeking a seasoned Mentorship Manager to own the advisor network, student assignments, and learning activity standards. This data-driven operational role requires leading a distributed team of full-time and part-time advisors and supervisors, managing compensation cycles, and driving measurable student outcomes across programs.

You will design guidance metrics, monitor performance, and collaborate with Finance and Product/Data teams to optimize operations.

Qualifications

  • Minimum 10 years of experience in operations, program management, or field team management.
  • Proven track record of leading data-driven teams and defining performance standards.
  • Strong operational data skills and proficiency with BI tools and advanced spreadsheets.

Responsibilities

  • Own the Student Guidance function end-to-end, including advisor network and supervisors.
  • Define and implement guidance metrics and performance standards.
  • Oversee student assignment, activation, and learning activities across programs.
  • Manage compensation cycles, incentives, and cost per activated student.
  • Prepare monthly/quarterly performance reports for leadership and partners.
  • Own the Student Guidance platform and collaborate with Product/Data teams to build tools.

Skills

Leadership
Data-driven
AI tools proficiency
Team collaboration
Arabic language (native)

Education

Bachelor's degree in a relevant field

Tools

BI tools
AI tools
Spreadsheets (Advanced)

Job description

Noon Academy is seeking a seasoned Mentorship Manager to own the advisor network, student assignments, and learning activity standards. This data-driven operational role requires leading a distributed team of full-time and part-time advisors and supervisors, managing compensation cycles, and driving measurable student outcomes across programs.

You will design guidance metrics, monitor performance, and collaborate with Finance and Product/Data teams to optimize operations.

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