Total Rewards Partner, M&a

Autodesk

Not specified; not specified; not specified
**
Direct m&a or integration experience
Compensation modeling and market data analysis
Job architecture and leveling expertise
** Autodesk is seeking a Total Rewards Partner for its M&A team, focusing on supporting compensation and rewards decisions throughout the merger and acquisition process. The role requires strong analytical skills and experience in Total Rewards, with responsibilities spanning due diligence, integration, and cross-functional collaboration. **

Job Summary

  • This role strengthens Autodesk's M&A Total Rewards capability to support disciplined growth and positive employee experiences during change.
  • The specialist evaluates target company compensation structures, incentive plans, and equity programs to identify risks and guide integration decisions.
  • During periods of low M&A activity, the position flexes to support executive compensation activities and broad-based compensation planning cycles.

Matching Summary

Match Score: 75

** Autodesk is seeking a Total Rewards Partner for its M&A team, focusing on supporting compensation and rewards decisions throughout the merger and acquisition process. The role requires strong analytical skills and experience in Total Rewards, with responsibilities spanning due diligence, integration, and cross-functional collaboration. **

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Direct M&A or integration experience
  • Compensation modeling and market data analysis
  • Job architecture and leveling expertise
  • Workday system execution capability
  • High confidentiality and discretion handling

Nice-to-have

  • Employee benefits gap analysis skills
  • Global compensation practice exposure
  • Executive compensation committee support
  • Cross-functional stakeholder partnership
  • Continuous improvement playbook development

Key Requirements

  • Direct experience supporting M&A transactions
  • Strong analytical capability in compensation modeling
  • Demonstrated ability to handle confidential information
  • Comfort working in fast-moving ambiguous environments

Work Rights

Not specified

Tailored Resume

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