Global ER & People Advisor — AI-Driven Case Management

AmTrav; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Private medical cover

Pension plan

Life Insurance

Cycle to Work

Sabbatical after 5 years

Relocation support

Job summary

Perk is seeking a People Advisor to harness systems and AI to enhance employee relations casework across the UK, Europe and US. You’ll co-pilot with managers on performance and conduct cases, maintain compliant documentation, and deliver insights to reduce risk and timelines.

This hybrid role requires proximity to one of our hubs and a passion for scalable, human-centric HR. Join a diverse, fast‑growing team and help shape how millions experience work while leveraging AI to improve processes and

Qualifications

• Experience managing employee relations cases across multiple regions.
• Ability to design and improve ER processes with data.
• Comfort using AI tools to support HR workflows.
• Strong judgment and structured case handling across Europe or the US.

Responsibilities

• Develop and evolve case management approaches using AI integration.
• Co-pilot with managers on performance, conduct, and probation cases.
• Maintain accurate, compliant documentation and policy application.
• Provide data insights and identify trends for early intervention.
• Ensure timely case resolution and efficient timelines.
• Collaborate with People Team and business partners on ER matters.

Skills

Employee relations

ER case management

Data analytics

AI in HR

Tools

HRIS

Job description

Perk is seeking a People Advisor to harness systems and AI to enhance employee relations casework across the UK, Europe and US. You’ll co-pilot with managers on performance and conduct cases, maintain compliant documentation, and deliver insights to reduce risk and timelines.

This hybrid role requires proximity to one of our hubs and a passion for scalable, human-centric HR. Join a diverse, fast‑growing team and help shape how millions experience work while leveraging AI to improve processes and