D

Compensation Program Manager

Datadog

Overview

Develop and execute scalable compensation programs and processes, including compensation and equity cycles, governance, timelines, and tools, in partnership with People, Finance, HRIS, Payroll, Legal, and business leaders Build dynamic compensation models and scenario analyses to support budgeting, workforce planning, and compensation design for cash/equity

Benefits, from the posting itself

Hover a row for the exact line it came from. Nothing inferred.

New hire stock equity (RSUs)receipt ⟳
“New hire stock equity (RSUs) and employee stock purchase plan”
401(k) plan and matchreceipt ⟳
“a 401(k) plan and match”
paid time offreceipt ⟳
“paid time off”
healthcare, dentalreceipt ⟳
“healthcare, dental, parental planning, and mental health benefits”
mental health benefitsreceipt ⟳
“healthcare, dental, parental planning, and mental health benefits”

Key Responsibilities

  • Develop and execute scalable compensation programs and processes, including compensation and equity cycles, governance, timelines, and tools, in partnership with People, Finance, HRIS, Payroll, Legal, and business leaders
  • Build dynamic compensation models and scenario analyses to support budgeting, workforce planning, and compensation design for cash/equity
  • Provide operational analysis, reporting, and insights related to compensation programs, trends, market data, and internal equity
  • Oversee compensation functionality and data in our systems and partner with HRIS and Analytics to continually enhance compensation and total rewards tooling
  • Lead communications and change management for compensation programs and processes, including FAQs, manager resources, training, and enablement

Key Requirements

  • Five to seven years or more, of compensation or related experience
  • A flexible, low-ego approach to building and scaling the function, comfortable operating across high-level strategic program design and hands-on analytics, reporting, data cleanup, and operational execution
  • Experience managing compensation programs and annual cycles, including equity programs and/or other variable compensation
  • Strong analytical rigor and experience building dynamic models and scenario analyses
  • Experience implementing and using compensation benchmarking data, market pricing methodologies, reporting, and compensation technology