Senior Manager, Total Rewards - Data and Analytics

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Role summary: Serves as the technical backbone for compensation data and operations during M&A transactions. Designs data solutions, optimizes processes, and leverages AI/automation to accelerate due diligence and integration.

Key responsibilities:

• Lead compensation data analysis during due diligence; identify risks and harmonization needs
• Build data pipelines to ingest, cleanse, and normalize compensation data from targets
• Manage all people related data for virtual data rooms by preparing, anonymizing, organizing, securing, and auditing high volumes of sensitive HR documents to support M&A due diligence and disclosure requirements.‑related data for virtual data rooms by preparing, anonymizing, organizing, securing, and auditing high volumes of sensitive HR documents to support M&A due diligence and disclosure requirements
• Create dashboards and reporting for integration visibility and decision-making
• Develop compensation mapping frameworks and model total comp scenarios
• Design scalable M&A playbooks and automate workflows (data validation, compliance)
• Evaluate and implement AI/ML solutions for benchmarking, job matching, and anomaly detection
• Conduct pay equity analyses pre- and post-close

Core skills:

• Compensation structures (base, variable, equity, executive comp)
• Data analysis and visualization (Excel, SQL, Tableau, Power BI)
• Python for data manipulation
• HRIS and compensation platforms (Workday, Pave, Syndio)
• AI/ML concepts and tools, with experience developing agents a plus
• Pay equity and compliance (FLSA, equal pay)
• Process automation using the Power Automate platform
• Proficiency with organizing complex HR datasets, and the ability to manage access controls, audit activity, and maintain strict confidentiality under fast‑moving deal conditions.

Work Personas

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Equal Opportunity Employer

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Accommodations

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