Hybrid Resource Planning Lead: Drive Scheduling & Capacity

Genius Sports Group

Medellín

Hybrid

COP 70,000,000 - 110,000,000

Full time

7 days ago
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Job summary

Genius Sports Group in Medellín, Colombia, is seeking a Resource Distribution & Planning Team Lead to oversee scheduling operations, workforce allocation, and capacity planning across our teams.

You will partner with stakeholders to optimize scheduling, monitor capacity and forecast variances, and provide data-driven insights to leadership while driving process improvements in a hybrid work environment.

Qualifications

  • Strong leadership experience managing teams in a fast-paced environment (<140 chars).
  • Excellent organizational and problem-solving abilities with attention to detail (<140 chars).
  • Strong analytical skills and ability to work with data, forecasts, and reporting tools (<140 chars).
  • Effective communication and stakeholder management skills (<140 chars).

Responsibilities

  • Lead and manage the Resource Distribution & Planning team, ensuring efficient day-to-day operations.
  • Oversee the allocation of resources across projects, shifts, and business units to ensure coverage and efficiency.
  • Monitor staffing capacity and address forecast variances, shortages, or productivity opportunities.
  • Collaborate with Operations, HR, WFM, and other stakeholders to align resource planning with business priorities.
  • Provide data-driven insights and reports to leadership on resource utilization, scheduling performance, and forecasting.
  • Identify and implement process improvements to enhance scheduling efficiency, workforce distribution, and planning.

Skills

Leadership
Organizational skills
Analytical skills
Forecasting
Stakeholder management
Communication
Problem-solving

Job description

Genius Sports Group in Medellín, Colombia, is seeking a Resource Distribution & Planning Team Lead to oversee scheduling operations, workforce allocation, and capacity planning across our teams.

You will partner with stakeholders to optimize scheduling, monitor capacity and forecast variances, and provide data-driven insights to leadership while driving process improvements in a hybrid work environment.

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