Autonomous Nursing Home Manager (RGN/RMN) in Coventry

Autonomous Nursing Home Manager (RGN/RMN) in Coventry

Coventry Full-Time 60000 - 70000 £ / year (est.) No working from home possible
Recruitment Panda Ltd

At a Glance

  • Tasks: Lead a dedicated team in providing exceptional nursing and dementia care.
  • Company: Recruitment Panda Ltd, a leader in healthcare recruitment.
  • Benefits: Attractive salary, bonuses, and the chance to shape your own work environment.
  • Other info: Join a supportive team and thrive in a fulfilling career.
  • Why this job: Make a real difference in residents' lives while enjoying autonomy in your role.
  • Qualifications: Active NMC registration and significant management experience required.

The predicted salary is between 60000 - 70000 £ per year.

Recruitment Panda Ltd is seeking a Registered Manager (RGN or RMN) in Coventry for a nursing and dementia care home. This role offers a salary of £60,000-£70,000 plus bonuses and emphasizes autonomy and leadership.

The successful candidate will:

  • Maintain high clinical standards
  • Manage a dedicated team
  • Ensure compliance with CQC regulations

Applicants must hold an active NMC registration and have significant experience in a management role.

Autonomous Nursing Home Manager (RGN/RMN) in Coventry employer: Recruitment Panda Ltd

Join a well-established nursing home near Colchester, where you will be supported by an experienced team and a strong administrative backbone. With a commitment to employee growth and a positive work culture, this role offers competitive benefits including generous annual leave and access to a staff lodge, making it an excellent opportunity for those looking to lead with confidence and care in a rewarding environment.

Recruitment Panda Ltd

Contact Details:

Recruitment Panda Ltd Recruitment Team

We think you need these skills to ace Autonomous Nursing Home Manager (RGN/RMN) in Coventry

Clinical Standards Management
Team Leadership
CQC Compliance
NMC Registration
Management Experience
Autonomy in Decision-Making
Dementia Care Knowledge