AI-Driven HR Operations Lead — Automation & Mobility

Inclusively Remote

United States

Remote

USD 46,000 - 104,000

Full time

32 hours ago
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Job summary

Remote is seeking an HR AI and Automation Operations Lead to drive scalable automation across HR processes. The role combines operational leadership with hands‑on technical delivery, focusing on data pipelines, low‑code tooling, AI agents, and compliant system design.

You will partner with cross‑functional teams across Operations, Product, Design, Engineering and IT, mentor junior staff, and own multi‑phase automation initiatives from planning to launch.

Qualifications

  • Must lead with strong ownership and autonomy in a fast-moving environment.
  • Experience translating operational pain points into automated, scalable solutions.
  • Hands-on automation with low-code platforms and cross-functional collaboration.
  • Background in HR Operations or Shared Services with focus on data privacy and compliance.
  • Experience building AI-enabled automation and data governance.

Responsibilities

  • Automation Strategy & Ownership: define and drive multi‑phase initiatives across redesign, tooling, and change management.
  • Workflow Optimization & System Integration: map processes and build end-to-end automated workflows.
  • Low-Code Development & AI Implementation: prototype rapid automations and govern AI tools.
  • Data Analytics & Insights: develop data models and dashboards for HR Operations.
  • Leadership & Team Enablement: mentor team members and promote continuous improvement.

Skills

Ownership & autonomy
Project management
Automation experience
Low-code tools
Scripting (Python/JS)
Communication skills

Tools

Zapier
Make
Retool
n8n
APIs

Job description

Remote is seeking an HR AI and Automation Operations Lead to drive scalable automation across HR processes. The role combines operational leadership with hands‑on technical delivery, focusing on data pipelines, low‑code tooling, AI agents, and compliant system design.

You will partner with cross‑functional teams across Operations, Product, Design, Engineering and IT, mentor junior staff, and own multi‑phase automation initiatives from planning to launch.

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