AI Training Resource & Capacity Lead

Turing

United States

À distance

USD 120 000 - 180 000

Plein temps

Il y a 12 jours

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Avantages offerts par ce poste

Fully remote
Flexible schedule
Global collaboration

Résumé du poste

Turing seeks a senior Resource Planning Lead to own resource planning and deployment for a large-scale AI training program, managing 1,800+ contributors across projects. You will align capacity with client demand, oversee tracking systems, and lead a team of Supply Coordinators for 24/7 operations.

Ideal candidates have 5+ years in large-scale operations, hands-on experience with resource management systems, and strong analytics.

Qualifications

  • 5+ years of experience in large-scale operations or managed services.
  • Hands-on experience with resource management systems and systems integration.
  • Strong analytical and communication skills; experience working with technical stakeholders.
  • Ability to work US Pacific Time hours.

Responsabilités

  • Make data-driven resource allocation and deployment decisions for AI training programs.
  • Forecast capacity gaps and guide recruiting and fulfillment teams.
  • Manage and improve centralized resource and throughput tracking systems.
  • Coordinate data from recruiting, onboarding, performance, and project delivery.
  • Monitor utilization, throughput, and operational trends.
  • Identify bottlenecks and lead process improvements.
  • Collaborate with clients, project leads, PMO, and cross-functional teams.
  • Lead 1–3 Supply Coordinators and ensure operating coverage.

Connaissances

Resource planning
Operations management
Stakeholder management
Data analysis
Cross-functional collaboration

Description du poste

Turing seeks a senior Resource Planning Lead to own resource planning and deployment for a large-scale AI training program, managing 1,800+ contributors across projects. You will align capacity with client demand, oversee tracking systems, and lead a team of Supply Coordinators for 24/7 operations.

Ideal candidates have 5+ years in large-scale operations, hands-on experience with resource management systems, and strong analytics.

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