Senior Total Rewards Partner (Denmark)

Job summary

The Senior Total Rewards Partner will be instrumental in developing and enhancing a global rewards strategy that aligns with business growth and employee engagement across various international markets. This strategic role involves close collaboration with senior leadership and cross-functional teams to ensure competitive and equitable compensation and rewards programs.

Qualifications

• Significant experience in Total Rewards, Compensation, or related People functions, particularly in global organizations.
• Proven track record of advising senior executives and influencing stakeholders on complex compensation issues.
• In-depth knowledge of compensation strategy, pay equity, job architecture, and geographically distributed workforce compensation models.
• Strong analytical skills with the ability to convert complex data into actionable insights.
• Excellent communication skills, capable of simplifying complex rewards concepts for diverse audiences.
• Experience in fast-paced, high-growth environments is preferred.
• Strong relationship-building and stakeholder management skills.
• High emotional intelligence and sound judgment in navigating ambiguity and change.
• Interest in utilizing AI and emerging technologies in Total Rewards processes.

Responsibilities

• Collaborate with executive leaders and stakeholders to develop global Total Rewards strategies.
• Design and communicate compensation and rewards frameworks for consistency and competitiveness.
• Provide expert guidance on compensation philosophy and geographic compensation strategies.
• Integrate Total Rewards principles into talent initiatives and workforce planning.
• Act as a subject matter expert in cross-functional projects involving finance, legal, and operations.
• Lead initiatives to enhance organizational understanding of compensation programs.
• Identify trends and regulatory developments, implementing proactive solutions.
• Utilize AI-driven tools for compensation modeling and decision-making.
• Represent the Total Rewards function in leadership discussions.
• Mentor colleagues to enhance rewards expertise across the organization.

Education

• Relevant degree or equivalent experience in a related field is preferred.

Tools

• Familiarity with AI-driven tools and advanced analytics for compensation modeling.