Global Compensation Leader - Remote & Data-Driven

Framework; Charlotte (AR); On-site; USD 120,000 - 180,000; Full time

Job summary

Chainlink Labs is hiring a Compensation Lead to own the operating engine of broad-based compensation. You will oversee offers, promotions, cycles, market pricing, and salary structures while partnering across People, Finance, Legal, and Tech to mature the function from execution to advisory leadership.

This remote role is global in scope, overlapping EST hours, and will leverage data, automation, and AI to improve speed, quality, and scalability of compensation analysis and reporting.

Qualifications

• 7+ years of broad-based compensation experience in a fast-paced global org.
• 10+ years for senior level consideration.
• Ability to own compensation programs across offers, promotions, cycles, market pricing, and salary structures.

Responsibilities

• Own execution and evolution of broad-based compensation programs.
• Lead global pay equity, job architecture, workforce planning, and pay design.
• Build compensation models, dashboards, and analyses for business decisions.
• Lead benchmarking, survey participation, and market pricing analyses.
• Review complex offers and escalations with clear recommendations.
• Partner with People Tech on migration to Pave and data infrastructure improvements.
• Design clear compensation views and resources for managers and partners.
• Advise leadership on compensation strategy and program design.
• Translate complex data into concise executive-ready recommendations.
• Use AI/tools to speed up analysis, reporting, and communication.

Skills

Broad-based compensation

Global experience

Excel modeling

Tools

Pave

Workday

SQL/BigQuery

Mercer/Radford datasets

Job description

Chainlink Labs is hiring a Compensation Lead to own the operating engine of broad-based compensation. You will oversee offers, promotions, cycles, market pricing, and salary structures while partnering across People, Finance, Legal, and Tech to mature the function from execution to advisory leadership.

This remote role is global in scope, overlapping EST hours, and will leverage data, automation, and AI to improve speed, quality, and scalability of compensation analysis and reporting.