5 дней назад
Compensation Partner (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Compensation Partner (AI): Supporting compensation programs, offer reviews, incentive cycles, equity processes, and compensation data governance for Scopely Explore in a hybrid Mexico City role with an accent on quantitative analysis, payroll reconciliation, and cross-functional partnership. Focus on designing safe agentic AI workflows, maintaining human approvals and data safeguards, and building compensation models for integration and plan-transition decisions.
Location: Mexico City, Mexico; hybrid schedule with three days per week in the office
Company
is a global video game and interactive entertainment company that develops, publishes, and operates games across mobile, web, PC, and console.
What you will do
- Serve as the compensation partner for Explore and translate compensation programs into clear guidance and timely support.
- Review job requisitions and new-hire offers, assess compensation inputs, identify risks, and provide data-informed recommendations.
- Support annual and mid-year compensation cycles, bonuses, performance incentives, and equity-vesting data reconciliation with Payroll.
- Build compensation models and scenarios for 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 while improving processes and automation.
Requirements
- At least 3 years of experience in compensation, total rewards analytics, finance, investment banking, or a related field.
- Experience with compensation analysis, offer reviews, compensation cycles, incentives, equity processes, or comparable operations.
- Proficiency in Excel and experience with HR information systems or compensation tools.
- Strong data accuracy, controls, process documentation, discrepancy resolution, and quantitative analysis skills.
- Experience designing or improving agentic AI workflows, including human approvals, sensitive-data safeguards, output validation, failure handling, documentation, and impact measurement.
- Strong English language skills are required. A bachelor's degree in Human Resources, Business, Finance, or a related field, or equivalent practical experience, is required.
Nice to have
- Experience in gaming, technology, or entertainment.
- Workday or Workday Advanced Compensation experience.
- Certified Compensation Professional certification or a comparable credential.
- Experience with compensation integrations, plan transitions, Python, R, or workflow automation tools.
Culture & Benefits
- Work within a diverse global team focused on developing and operating games for players worldwide.
- Collaborate across People, Finance, Legal, Payroll, Recruiting, and HR Technology functions.
- The role provides access to sensitive employee or customer PII and company financial information and requires background checks after a conditional offer.
- is committed to a respectful, supportive, and inclusive work environment.
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