Learning Manager in Milton Keynes

Learning Manager in Milton Keynes

Milton Keynes Full-Time 29142 - 35412 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Support student learning using data and strategic interventions to boost attainment.
  • Company: Join Carlton le Willows Academy, a vibrant educational environment.
  • Benefits: Competitive salary, term-time hours, and a supportive team.
  • Other info: Permanent position with opportunities for professional growth.
  • Why this job: Make a real difference in students' lives and help them achieve their potential.
  • Qualifications: Experience in education and a passion for student success.

The predicted salary is between 29142 - 35412 £ per year.

Carlton le Willows are looking to appoint a Learning Manager to join our academy in September 2026, on a permanent basis.

Your new role: As a Learning Manager, you will support student learning through the use of data, strategic intervention and monitoring in order to maximise student attainment.

Salary: Grade G Points 20 to 24 (£32,597 to £35,412 Full Time Equivalent) subject to pro rata. The minimum actual pro rata salary per annum for this job starts at £29,142.38.

Hours: 37 hours per week / Term Time only plus 10 days (40 weeks per year).

Learning Manager in Milton Keynes employer: Carlton le Willows Academy

Carlton le Willows is an exceptional employer, offering a supportive and collaborative work environment that prioritises professional development and employee growth. With a focus on maximising student attainment, our Learning Manager role provides the opportunity to make a meaningful impact in education while enjoying a competitive salary and a term-time only schedule, allowing for a healthy work-life balance.

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Contact Details:

Carlton le Willows Academy Recruitment Team

We think you need these skills to ace Learning Manager in Milton Keynes

Data Analysis
Strategic Intervention
Monitoring Student Progress
Maximising Student Attainment
Communication Skills
Problem-Solving Skills
Adaptability