Compensation Partner

Scopely is looking for a Compensation Partner, Scopely Explore to join our Total Rewards team in Mexico City, Mexico, on a hybrid basis, with three days per week in the office. This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment.

Responsibilities

Serve as the dedicated compensation partner for Scopely Explore, understanding team needs and translating compensation programs into clear guidance and timely support; Review job requisitions and new-hire offers, assess compensation inputs, identify exceptions or risks and provide data-informed recommendations; Support annual and mid-year compensation cycles and administer bonuses and performance-based incentives, from planning through reconciliation; Validate equity-vesting data, resolve discrepancies and partner with Payroll to reconcile compensation-related payroll inputs accurately and on time; Build compensation models and scenarios to support integration decisions and transitions between compensation plans; Maintain compensation data accuracy and governance in Workday through controls, audits and process documentation; Partner with Payroll, Finance, Legal, People Business Partners, HR Technology and Recruiting to resolve issues, coordinate dependencies and deliver compensation work; Document and standardize compensation processes, identify automation opportunities and use AI-assisted workflows while maintaining human oversight, data safeguards and output validation

Requirements

Demonstrated compensation knowledge and quantitative analysis skills, supported by 3+ years of experience in compensation, total rewards analytics, finance, investment banking or another closely related field; Experience turning complex data into clear recommendations and supporting job-requisition and offer reviews, compensation cycles, incentives, equity-related processes or comparable compensation operations; Proficiency in Excel and experience with human resources information systems or compensation tools; A track record of maintaining accurate data, applying controls and documenting processes, with attention to detail when identifying and resolving discrepancies; Ability to explain compensation topics clearly to different audiences in writing and conversation, collaborate across functions and manage competing priorities while maintaining accuracy and meeting deadlines; Demonstrated experience operating or improving agentic AI workflows in a business setting, including designing safe workflows, defining agent steps, placing human approvals, safeguarding sensitive data, validating outputs, handling failures, documenting workflows and measuring accuracy and business impact; A bachelor's degree in Human Resources, Business, Finance or a related field, or equivalent practical experience; Strong English language skills

Nice to have

Experience in the gaming, technology or entertainment industry; Workday experience; Workday Advanced Compensation experience; Certified Compensation Professional (CCP) or a comparable compensation certification; Experience supporting compensation integration or plan-transition work; Experience with Python, R or other tools used for data analysis and workflow automation