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1 result for Compensation Manager in Carlsbad, CA
- San Diego, CA
- remote
- Temporary
- 43 - 63 USD / Hourly
- <p><strong>Job Overview</strong></p><p>Robert Half is partnering with a dynamic organization in San Diego to identify an experienced <strong>HR Compensation Manager </strong>for a long-term project engagement. This role will lead critical global compensation initiatives, with a strong focus on consolidating and analyzing international bonus plan data. The consultant will serve as a strategic partner to HR and Finance, driving data integrity, consistency, and actionable insights across global markets.</p><p>This is a highly project-driven role ideal for a consultant who thrives in ambiguous environments, enjoys building structure from unorganized data, and brings deep expertise in global compensation practices.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Lead the consolidation of <strong>global bonus plan data</strong> across multiple regions into a standardized, centralized format</li><li>Develop and maintain a <strong>historical compensation dataset</strong> to track trends, plan structures, and regional variations</li><li>Analyze the <strong>global cost of bonus programs</strong>, including currency conversions and market-specific considerations</li><li>Transform and organize <strong>unstructured data</strong> from spreadsheets and disparate sources into cohesive reporting tools</li><li>Partner closely with <strong>HR and Finance leadership</strong> to align compensation strategies with business objectives</li><li>Provide <strong>compensation benchmarking support</strong> for open requisitions, ensuring alignment with market data and internal equity</li><li>Support and advise on <strong>job leveling frameworks</strong> to enhance organizational consistency and structure</li><li>Deliver <strong>insights and recommendations</strong> on broader compensation initiatives and projects</li><li>Utilize advanced Excel capabilities for <strong>data modeling, analysis, and reporting</strong></li><li>Leverage and refine existing datasets to improve <strong>accuracy, completeness, and usability</strong></li></ul>
- 2026-04-17T00:00:00Z