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Papaya Global

Total Reward & People Analytics Lead

Posted 4 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in London, Greater London, England
Mid level
Remote or Hybrid
Hiring Remotely in London, Greater London, England
Mid level
Manage Total Reward practices and People Analytics capability. Collaborate with leadership and teams to support compensation, workforce planning, and implement data-driven solutions.
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Description

Papaya Global is a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll & payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries. 

As Papaya continues to scale globally, we are looking for a Total Reward & People Analytics Lead to join our HR Centers of Excellence team, reporting to the Head of CoE. In this role, you will manage and continuously improve the company’s reward practices and people analytics capability, ensuring alignment between performance, workforce planning, talent decisions, and compensation outcomes.

You will work closely with leadership, HRBPs, Finance, and global teams to build practical, data-driven solutions that support performance, growth, and organizational effectiveness.

Total Reward

  • Manage and evolve the company’s Total Reward practices, including compensation, benefits, and job architecture
  • Manage all aspects of compensation and benefits, ensuring consistency, fairness, market relevance, and business alignment
  • Own the end-to-end execution of reward processes, including merit cycles, bonus programs, and ongoing compensation and benefits
  • Lead the detailed planning and execution of reward programs, ensuring accuracy, consistency, and high-quality delivery
  • Implement compensation structures aligned with business goals and organizational growth
  • Build and maintain job architecture frameworks, including roles, levels, and compensation bands
  • Ensure strong alignment between performance, workforce planning, talent decisions, and compensation outcomes
  • Partner with HRBPs and leadership to support compensation decisions
  • Work closely with Finance to ensure budget alignment and cost discipline

People Analytics & HRIS

  • Build and develop People Analytics as a core capability across all HR domains
  • Serve as the central owner of people data within HR, working hands-on to analyze trends, identify gaps, and surface actionable insights
  • Ensure data accuracy, consistency, and reliability across HR systems
  • Design and implement practical tools, HRIS solutions, and automations that improve how managers and HR operate and enable employees to effectively manage their people journey
  • Manage and continuously improve HR systems and their functionalities, ensuring they are effective, reliable, and support how HR and the business operate
  • Drive the use of AI and advanced technologies to build internal tools that improve efficiency, scalability, and data visibility across the HR function
Requirements
  • 6–10 years of experience in Total Reward, Compensation, or People Analytics in a global, fast-paced environment
  • Familiarity with compensation frameworks and experience with managing reward processes
  • Experience working closely with Finance and senior stakeholders
  • Strong analytical skills with the ability to translate data into clear, actionable insights
  • Experience building or working with job architecture frameworks
  • Detail-oriented with a strong ability to manage complex processes with accuracy and consistency
  • Strong interpersonal and communication skills
  • Experience working with HR systems across multiple domains
  • Strong ability to build and present a clear and compelling narrative based on data and insights
  • Ability to influence without direct authority, make and communicate difficult decisions, and maintain strong working relationships
  • Hands-on, proactive, and solution-oriented approach
  • Data-driven mindset with strong attention to accuracy and detail
  • Tech-savvy, with experience working with HR systems and data tools

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