Senior Compensation Specialist

Neuberger Berman
New York, NY
Category Finance
Job Description
Role Overview

The HCM Compensation and Analytics team is seeking an experienced Compensation professional to provide compensation advisory and analytics-driven insights. This role leads key compensation programs and processes, supports job architecture and benchmarking efforts, and partners closely with the People Analytics function to inform decisions with clear, actionable analysis.

What You Will Do

Key Responsibilities: Provide strategic compensation advisory support to HR Business Partners and business leaders, including guidance on pay decisions, internal equity, and competitive positioning. Partner with the Head of Compensation to design, implement, and maintain compensation programs, policies, and practices aligned with business needs and market trends.

Why It Might Be a Fit

The ideal candidate will have 7-15 years of progressive compensation experience, including advisory support to business leaders; financial services experience strongly preferred. The candidate will be able to translate market data into practical recommendations and communicate insights clearly to varied audiences.

Requirements

  • 7-15 years of progressive compensation experience
  • Demonstrated experience with compensation benchmarking and survey tools (McLagan preferred)
  • Experience supporting or leading job architecture and job leveling efforts
  • Strong analytical skills with the ability to interpret people and compensation data, identify trends, and communicate insights clearly
  • Experience using data visualization tools (e.g., Tableau, Power BI) to communicate compensation and workforce insights clearly to varied audiences
  • Proven ability to manage complex processes and timelines, including year-end compensation planning cycles
  • Advanced knowledge of Excel and PowerPoint; programming (SQL, Python, R) is preferred
  • Familiarity with AI tools and agentic workflows is preferred; experience identifying use cases, prompting or configuring AI assistants, and evaluating outputs for accuracy and business applicability
  • Bachelor’s degree required; advanced degree or professional certification a plus

Benefits

  • Paid time off
  • Medical/dental/vision insurance
  • Retirement
  • Life insurance
  • Other benefits
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