Talent Management Partner

7 hours, 14 minutes ago
Full-time
Senior
Data Science and Analytics
HighLevel

HighLevel

HighLevel provides an all-in-one sales and marketing platform that agencies can white label and resell, offering tools and resources designed to help businesses consolidate their marketing efforts and achieve their growth objectives.

Internet Software & Services
251-1K
Founded 2018
$60M raised

Description

  • Apply job evaluation frameworks, document rationales, and flag roles requiring leveling calibration.
  • Maintain job architectures, career paths, level descriptors, progression criteria, and version-controlled sources of truth.
  • Partner with People Business Partners to identify architecture gaps and recommend updates as work evolves.
  • Own assigned modules during performance and promotion review cycles and analyze talent outcomes for patterns and improvements.
  • Conduct global market benchmarking and compensation analyses supporting pay ranges, hiring, retention, promotions, and workforce decisions.
  • Maintain equity and rewards datasets and support reporting for strategic rewards initiatives.
  • Manage project plans, dependencies, schedules, trackers, and completion reporting across talent initiatives.
  • Build dashboards, standardized reporting templates, and automated data pipelines with data-quality controls.
  • Use Apps Script, GPT/API workflows, and other automation tools to reduce recurring manual work.
  • Advise People Business Partners on established talent processes, resolve standard queries, and prepare decision-making inputs.

Requirements

  • 5+ years of progressive experience in Talent Management, Compensation/Rewards, People Consulting, Performance, Organization Design, or a related discipline.
  • Hands-on experience with market benchmarking, salary structures, and pay design.
  • Working knowledge of job evaluation methodologies such as Aon, Korn Ferry/Hay, Mercer IPE, or equivalent.
  • Advanced Excel or Google Sheets skills with strong analytical and modeling capability.
  • Ability to translate complex data into actionable recommendations.
  • Ability to create basic Apps Script and ChatGPT API-based workflows.
  • Knowledge of career architecture, leveling, performance, and organization design principles.
  • Strong stakeholder consulting and communication skills, with sound judgment in ambiguous situations.
  • Experience working with a global workforce.
  • Preferred: experience in talent/rewards consulting, SaaS or high-growth technology, equity or global compensation, pay-equity analysis, or enterprise talent framework design.

Interested in this position?

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