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

Service Now is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

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It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — Service Now stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.