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Global Total Rewards Manager

Exadel · Flexible / Remote

Publicada em 05/10/2026

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Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.What powers it all? Our people are ambitious, collaborative, and constantly evolving. What You’ll Do Lead the development, implementation, and ongoing administration of global Total Rewards programs, including compensation, benefits, recognition, wellbeing, and incentive programs. Support the evolution of Total Rewards philosophy, frameworks, and programs in alignment with business and talent objectives. Establish appropriate governance, controls, processes, and documentation to support consistent and compliant program administration. Monitor global market and regulatory developments and assess implications for Total Rewards programs and practices. Support compensation philosophy, pay structures, job architecture, market benchmarking, and pay equity initiatives. Lead annual compensation processes, including merit, incentive, and other reward cycles, in partnership with HR and Finance. Analyze compensation data and trends to identify opportunities, risks, and areas requiring attention. Provide compensation guidance and support to HR leaders and managers. Manage global benefits programs and vendor relationships, ensuring programs are competitive, cost-effective, compliant, and aligned with employee needs. Oversee recognition and wellbeing programs and identify opportunities to strengthen employee engagement and program effectiveness. Evaluate program effectiveness, utilization, cost, and employee experience to inform ongoing program improvements. Use market data, workforce analytics, and financial insights to inform Total Rewards decisions and recommendations. Partner with Finance on budgeting, forecasting, cost analysis, and financial modeling re
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