Contract Compensation Lead

Harvard Maintenance, Inc

$110K — $130K *
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in compensation, human resources, finance, or HR analytics roles.
  • Strong proficiency in Microsoft Office, particularly in Excel and PowerPoint.
  • Experience with compensation survey data, specifically in actuarial, insurance, consulting, or professional services environments.
  • Knowledge of actuarial career paths and credential structures (e.g., ASA, FSA).
  • Excellent analytical and interpersonal skills with attention to detail.

Responsibilities

  • Conduct comprehensive benchmarking analysis for salary, bonus, and total rewards in actuarial consulting markets.
  • Identify relevant peer groups and data sources for internal and industry benchmarking.
  • Analyze compensation trends based on actuarial credentials and experience levels.
  • Develop structured salary ranges and guidelines by practice area and job family.
  • Review employee compensation data to assess alignment with market benchmarks and equity.
  • Evaluate the broader rewards package and recommend enhancements for competitiveness.
  • Present findings and develop actionable reports and tools for ongoing compensation management.

Benefits

  • Competitive and equitable compensation structures.
  • Enhanced rewards package including benefits and exam support.
  • Opportunities for retention-focused improvements.
  • Collaborative environment working with HR leadership and stakeholders.
Full Job Description
Compensation & Total Rewards Lead

Contractor to lead a comprehensive market benchmarking and internal compensation review. This role will play a critical part in ensuring our salary structures and total rewards offerings are competitive, equitable, and aligned with our business strategy.

This role will conduct external benchmarking, evaluate internal compensation data, and develop structured salary guidelines across practices, levels, and actuarial credential progression. This role requires strong attention to detail, excellent analytical and interpersonal capabilities, and experience translating data into actionable compensation recommendations.

Key Responsibilities:

Market Benchmarking & Research:


  • Conduct a comprehensive benchmarking analysis of salary, bonus, and total rewards across relevant markets (Life, P&C, and Health actuarial consulting).
  • Identify appropriate peer groups and data sources, including both internal data and industry benchmarks/surveys
  • Analyze trends in compensation tied to actuarial credentials, exams, years of experience, and specialization areas


Salary Framework Development: Develop structured salary ranges/guidelines by:

  • Practice area.
  • Role / job family.
  • Level of experience.
  • Actuarial exam progression / credential (e.g., ASA, FSA)
  • Propose frameworks for base salary and total compensation positioning.


Internal Compensation Analysis:

  • Review current employee compensation data across practices, roles, and geographies.
  • Assess alignment with market benchmarks, internal equity, and pay progression expectations.
  • Identify outliers, compression issues, and inconsistencies.
  • Partner with HR leadership to prioritize potential adjustments based on impact, risk, and budget considerations.


Total Rewards Review:

  • Evaluate broader rewards package (benefits, incentives, exam support, etc.).
  • Recommend enhancements to improve competitiveness and retention.


Stakeholder Engagement & Deliverables:

  • Present findings and recommendations to HR leadership and senior business stakeholders.
  • Develop clear, actionable reports and tools (e.g., compensation bands, guidelines, dashboards).
  • Provide documentation to support ongoing compensation management.


Experience Required:

  • 5+ years of experience working in compensation, human resources, finance, or HR analytics roles.
  • Strong proficiency in Microsoft Office, especially Excel and PowerPoint; must be comfortable working with and manipulating large amounts of data in Excel (pivot tables, modeling, etc.).
  • Ideal candidate would have experience working with compensation survey data, preferably in actuarial, insurance, consulting, or professional services environments.
  • Familiarity with actuarial career paths and credential structures (ASA, FSA, exams).

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