WEX

Director, Global Compensation

WEX

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $169,000 - $225,000 per year

Job Level

Lead

Tech Stack

PythonSQLTableau

About the role

  • Lead execution of global compensation programs (base pay, short-term incentives, job architecture, leveling, benchmarking)
  • Develop sophisticated financial and compensation models, scenario planning, and cost scenarios
  • Utilize Python, SQL, or other analytical tools to analyze large datasets and automate compensation workflows
  • Provide recommendations on pay positioning, retention strategies, compensation policies, and workforce design
  • Partner with Finance, HRBPs, legal and senior leaders to align compensation strategies with business objectives
  • Conduct market benchmarking using compensation surveys and perform internal equity analysis
  • Oversee annual merit cycles from planning to completion and lead harmonization projects
  • Evolve processes with HR partners and HR Technology; build job families, leveling, salary ranges and career tracks
  • Ensure compliance with pay regulations and support pay transparency initiatives
  • Design and maintain dashboards and reporting solutions (Looker, Tableau, or similar)
  • Build, manage, coach and develop a small team of compensation analysts

Requirements

  • Undergraduate degree in business, economics, or a related field
  • 15+ years of experience in compensation or compensation management consulting
  • 5+ years of people management experience, including coaching and developing talent
  • Strong fluency in data analysis tools; proficiency in Excel/Google Sheets
  • Technical expertise in compensation modeling, data science, analytics and dashboards
  • Experience with compensation survey providers (Radford, Mercer, WTW) and job leveling methodologies
  • Strategic thinker with ability to translate business goals into compensation strategies
  • Exceptional communication and storytelling skills, with ability to influence at all levels
  • Preferred: Experience with Python, SQL, and BI tools (Looker/Tableau)
  • Preferred: Master's in Human Resources or MBA