Director - Workforce Management

Black Box; Dallas (TX); Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

Black Box is seeking a senior Workforce Management leader to plan, forecast, and optimize staffing for 24/7 data center operations. You will drive workforce analytics, SLAs, budgeting, and process standardization across regions, partnering with HR, Capacity Planning, and Finance.

Expertise in P6 scheduling and WFM platforms is required. The role demands strong analytical capabilities, experience with large-scale facilities, and the ability to translate business needs into scalable workforce

Qualifications

• Bachelor's degree in Business, Operations, Engineering, or related field.
• 10+ years of experience in Workforce Management, Operations Planning, or similar roles.
• 5+ years of leadership experience managing WFM or operations teams.
• Experience supporting 24/7 mission-critical environments (data centers, telecom, cloud, or similar).
• Strong analytical and modeling skills (Excel, SQL, or similar tools).
• Experience with WFM platforms (e.g., Kronos/UKG, NICE, Workday, or similar).
• Experience in hyperscale or colocation data center environments.
• Knowledge of capacity planning and infrastructure lifecycle management.
• Familiarity with ITIL, incident management, or service operations frameworks.
• P6 programming required for scheduling

Responsabilités

• Develop short- and long-term workforce plans aligned with data center growth, capacity expansion, and operational demand.
• Build and maintain forecasting models for technician staffing, shift coverage, and project-based labor needs.
• Partner with capacity planning teams to align workforce supply with infrastructure demand.
• Oversee scheduling frameworks for 24/7/365 data center operations, ensuring optimal coverage and compliance.
• Implement standardized WFM processes across multiple facilities or regions.
• Monitor real-time staffing levels and adjust to meet SLAs, uptime requirements, and incident response needs.
• Lead workforce analytics including headcount modeling, productivity metrics, utilization rates, and labor cost analysis.
• Develop dashboards and reporting for executive visibility into workforce performance.
• Use data-driven insights to recommend staffing optimizations and efficiency improvements.
• Own and optimize WFM tools (e.g., scheduling systems, forecasting software, timekeeping platforms).
• Drive automation and digital transformation initiatives within workforce planning processes.
• Ensure integration between WFM systems and HRIS, ticketing, and capacity management tools.
• Partner with HR on hiring strategies, talent pipelines, and workforce scalability.
• Work with Finance to manage labor budgets, cost forecasting, and variance analysis.
• Collaborate with Data Center Operations leadership to align workforce plans with maintenance schedules, deployments, and incident management.

Connaissances

Forecasting

Data analysis

Leadership

Cross-functional collaboration

P6 scheduling programming

SQL

Formation

Bachelor's degree in Business/Operations/Engineering

Outils

Kronos/UKG

NICE

Workday

SQL

Description du poste

Key Responsibilities

• Develop short- and long-term workforce plans aligned with data center growth, capacity expansion, and operational demand.
• Build and maintain forecasting models for technician staffing, shift coverage, and project-based labor needs.
• Partner with capacity planning teams to align workforce supply with infrastructure demand.
• Oversee scheduling frameworks for 24/7/365 data center operations, ensuring optimal coverage and compliance.
• Implement standardized WFM processes across multiple facilities or regions.
• Monitor real-time staffing levels and adjust to meet SLAs, uptime requirements, and incident response needs.
• Lead workforce analytics including headcount modeling, productivity metrics, utilization rates, and labor cost analysis.
• Develop dashboards and reporting for executive visibility into workforce performance.
• Use data-driven insights to recommend staffing optimizations and efficiency improvements.
• Own and optimize WFM tools (e.g., scheduling systems, forecasting software, timekeeping platforms).
• Drive automation and digital transformation initiatives within workforce planning processes.
• Ensure integration between WFM systems and HRIS, ticketing, and capacity management tools.
• Partner with HR on hiring strategies, talent pipelines, and workforce scalability.
• Work with Finance to manage labor budgets, cost forecasting, and variance analysis.
• Collaborate with Data Center Operations leadership to align workforce plans with maintenance schedules, deployments, and incident management.

Required

• Bachelor's degree in Business, Operations, Engineering, or related field.
• 10+ years of experience in Workforce Management, Operations Planning, or similar roles.
• 5+ years of leadership experience managing WFM or operations teams.
• Experience supporting 24/7 mission-critical environments (data centers, telecom, cloud, or similar).
• Strong analytical and modeling skills (Excel, SQL, or similar tools).
• Experience with WFM platforms (e.g., Kronos/UKG, NICE, Workday, or similar).
• Experience in hyperscale or colocation data center environments.
• Knowledge of capacity planning and infrastructure lifecycle management.
• Familiarity with ITIL, incident management, or service operations frameworks.
• P6 programming required for scheduling

Why Black Box?

Black Box is a leading global technology solutions provider with 2,500+ team members across 24 countries. We design, deploy, and manage world-class IT infrastructure solutions for some of the most demanding environments worldwide. We value innovation, ownership, transparency, and continuous growth-both in our business and our people. When you join Black Box, you join a team committed to delivering excellence and elevating the customer experience.

Equal Opportunity Employer

-Black Box is an equal opportunity employer. We welcome applicants of every background and do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected status.