Senior Total Rewards Partner (Remote, Global)

Job summary

This role is a strategic position within the People team, focusing on shaping a global Total Rewards strategy. The individual will collaborate with executive leadership and various stakeholders to drive fair and competitive rewards decisions while addressing complex Total Rewards challenges.

Qualifications

• Extensive experience in total rewards roles with a strong focus on strategy and business partnering in a global context.
• Proven ability to influence and advise senior leaders on complex rewards issues.
• Deep knowledge of total rewards philosophies, pay equity, and geo-tiering principles.
• Strong communication skills to convey complex Total Rewards concepts to diverse audiences.
• Experience in fast-growing, global, and remote-friendly organizations is preferred.
• Collaborative mindset with excellent interpersonal skills and high emotional intelligence.

Responsibilities

• Partner with executive leadership to shape Total Rewards strategy aligned with organizational objectives.
• Design and articulate Total Rewards frameworks that ensure strategic alignment and competitive positioning.
• Provide strategic counsel on compensation philosophy and job architecture evolution.
• Integrate Total Rewards strategy into critical talent programs.
• Act as a subject matter expert, influencing cross-functional initiatives with a Total Rewards perspective.
• Drive education efforts to enhance organizational understanding of Total Rewards principles.
• Lead risk assessment initiatives to identify challenges in Total Rewards and propose solutions.
• Leverage AI and emerging technologies to enhance Total Rewards analysis and decision-making.
• Represent Total Rewards in executive forums and mentor junior team members.
• Stay updated on market trends and innovative Total Rewards practices.

Education

• Relevant degree or equivalent experience in Human Resources, Business Administration, or related field preferred.

Tools

• Familiarity with Total Rewards software and analytics tools, as well as AI technologies for data analysis.