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Executive Compensation Consultant

United States · Job Posted June 10, 2026
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Job Description

You will serve as a trusted advisor to Sterlington's clients, typically founders, C-suite executives, compensation committees, boards, and private equity sponsors, helping them design, benchmark, and govern executive compensation programs that attract top talent and align pay with long-term value creation.

Job Responsibility

  • Advise on the design of executive compensation programs: base salary, annual and long-term incentives, equity plans, MIPs, and severance arrangements
  • Develop and articulate compensation philosophy frameworks that align pay structure with business objectives, shareholder interests, and governance standards
  • Model incentive plan scenarios: stress-testing pay-for-performance alignment, cost impacts, and dilution effects across a range of business outcomes
  • Conduct compensation risk assessments and advise on clawback policies, stock ownership guidelines, and anti-hedging provisions
  • Guide clients through compensation design in the context of IPOs, M&A, restructurings, and PE-backed management incentive plans
  • Advise on severance, change-in-control provisions, and executive succession planning in deal and transition contexts
  • Support post-merger integration on executive compensation harmonization and retention program design
  • Draft and review plan documents, term sheets, offer letters, and employment agreements related to executive compensation
  • Leverage AI tools to accelerate research, modeling, and deliverable production

Requirements

  • 5+ years in executive compensation consulting, compensation committee advisory, investment banking (comp-focused), Big 4, or a specialist executive pay firm
  • JD, MBA, or CPA — or equivalent demonstrated expertise in tax/legal dimensions of executive pay
  • Experience with technology, life sciences, or high-growth private company clients
  • Deep knowledge of executive pay design across public and/or private/pre-IPO company contexts — including equity incentive structures, performance metrics, and governance frameworks
  • Strong financial modeling and analytical skills
  • advanced Excel
  • fluency with proxy data tools (Equilar, ISS Analytics, Radford, or equivalent)
  • Proven ability to manage multiple client engagements simultaneously in a remote-first environment
  • Demonstrated fluency with AI tools in professional work — Sterlington’s AI-first mandate is non-negotiable across all roles

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