Municipal Classification & Compensation Lead - Public Safety

Alphahire

United States

Remote

USD 150,000 - 250,000

Full time

10 days ago
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Job summary

AlphaGov is seeking a Large Municipal Multi-Structure Classification & Compensation Lead for project-based engagements with mid-to-large cities and counties that maintain multiple pay plans (general, police, fire, paramedic, and related public-safety structures).

You will lead or co-lead full classification and compensation studies covering hundreds of titles across civilian and sworn structures, including market surveys, internal equity/compression analysis, and implementation cost modeling for

Qualifications

  • 7+ years public-sector compensation/classification consulting or equivalent municipal HR leadership.
  • Experience completing at least one multi-structure study that included sworn police and/or fire pay plans.
  • Experience with organizations of roughly 500+ FT employees or 200+ distinct titles.
  • Strong analytical, writing and stakeholder presentation skills.

Responsibilities

  • Lead multi-structure municipal class/comp studies (civilian + sworn/public-safety pay plans).
  • Design peer sets and market surveys appropriate to mid/large cities and tourist/coastal or high-growth suburbs.
  • Analyze compression across police, fire, paramedic, and general schedules.
  • Recommend classification structures, grade assignments, and implementation phases.
  • Prepare council/management presentations and proposal technical content for AlphaGov.
  • Coordinate with specialist SMEs (utility, K-12, benefits) when scopes expand.

Job description

AlphaGov is seeking a Large Municipal Multi-Structure Classification & Compensation Lead for project-based engagements with mid-to-large cities and counties that maintain multiple pay plans (general, police, fire, paramedic, and related public-safety structures).

You will lead or co-lead full classification and compensation studies covering hundreds of titles across civilian and sworn structures, including market surveys, internal equity/compression analysis, and implementation cost modeling for

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