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People and Talent Operations Lead

GlossGenius · New York, United States

External listingfull-timeabout 1 month ago

About The Role

Join GlossGenius as the People and Talent Operations Lead, where you'll have the opportunity to shape and build essential programs within the People and Talent function. In this role, you'll be responsible for driving strategic projects, designing AI-powered workflows, and managing the compensation infrastructure. You'll report to the Senior Manager, People and Talent Operations, and work across various areas including compensation, HR systems, data and reporting, AI enablement, and employee experience.

  • Concevoir et mettre en œuvre des programmes de reconnaissance des employés, d'intégration et de compensation.
  • Construire la couche de données et de reporting pour la fonction People and Talent, définir les indicateurs clés de performance.
  • Diriger des projets stratégiques dans les systèmes de People and Talent et d'autres initiatives.
  • High judgment about what to escalate and what to just solve, with a track record of handling complexity independently without pulling in more stakeholders than necessary
  • 5+ years of progressive HR and People Operations experience, with demonstrated breadth across at least two or three of the following: compensation, HRIS and systems, people analytics, onboarding, or employee experience
  • Proven experience building workflows using AI in a People or HR context, identifying repeatable work, automating it, and redirecting capacity toward higher-judgment problems
  • Excellent written communication, able to produce a crisp one-pager, a stakeholder memo, or a comp framework doc with clarity that doesn't require explanation
  • Analytically sharp, with expert-level Excel or Google Sheets skills and deep fluency with HRIS and BI tools
  • Strong foundations as an HR generalist, knowing the craft well enough to spot what's broken, ask the right questions, and separate real problems from noise
  • Moves without waiting for a perfect brief or complete dataset, forming a hypothesis, building a draft, getting feedback, and iterating rather than waiting for full clarity before starting

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