Oversee and coordinate a team of WFM analysts to optimize staffing, forecasting, and scheduling for contact center operations. Partner with leadership to deliver actionable reporting on core metrics and drive process standardization across WFM systems.
Overview
We are seeking a highly motivated Workforce Management Lead to oversee and coordinate a team of analysts supporting inbound and outbound contact center operations.
In this role, you will combine analytical expertise with day-to-day team leadership—balancing workforce optimization with
guidance, prioritization, and operational direction across the WFM function.
The ideal candidate is data-driven, proactive, and skilled at turning insights into actionable operational strategies. You’ll play a pivotal role in ensuring that staffing, forecasting, and scheduling align with service delivery objectives, while fostering a high-performing, collaborative, and continuously improving WFM function. While this role will help lead the day-to-day work of the team, it will not have direct reports.
This is a remote position for United States based employees.
Responsibilities
- Lead, coach, and mentor a team of WFM Analysts, providing guidance, career development, and performance feedback.
- Validate and approve forecasts and schedules, ensuring accuracy, consistency, and optimization against service-level goals.
- Serve as an escalation point for intraday or service-level risks and coordinate rapid response solutions.
- Oversee and optimize the execution of forecasting, scheduling, capacity planning, and real-time management activities across multiple business lines, while driving process standardization, automation, and best practice adoption across WFM systems and workflows.
- Partner closely with operations leaders to develop staffing recommendations, hiring strategies, and capacity adjustments.
- Deliver actionable reporting and insights to leadership on core WFM metrics including Service Level, ASA, Abandonment, Occupancy, Shrinkage, and Utilization.
- Collaborate cross-functionally with HR, Finance, and IT to align workforce planning with broader business objectives.
- Support the rollout and optimization of contact center platforms (NICE CXone, RingCentral, DialPad or similar).
- Contribute to continuous improvement efforts leveraging predictive analytics, NLP, and Machine Learning for advanced workforce modeling.
Qualifications
Education Required:
- Bachelor’s degree in Business, Mathematics, Operations Management, Data Analytics, or a related field — or equivalent experience
Preferred:
- Master’s degree in Business Analytics, Industrial Engineering, or related quantitative discipline
Experience Required:
- 3+ years of Workforce Management experience in a multi-channel, high-volume contact center environment.
- 1+ years of leadership or team lead experience within WFM or Operations.
- Proven experience managing forecasting, scheduling, and intraday teams using modern WFM platforms.
Preferred:
- Experience in multi-site or vendor-managed contact center operations.
- Exposure to AI, Natural Language Processing (NLP), or Machine Learning applications in workforce forecasting.
- Hands-on experience with NICE CXone / inContact, RingCentral, DialPad or similar telephony platforms.
- Advanced Excel, SQL, or scripting (Python, R) skills for analytics and automation.
Knowledge, Skills, Abilities:
- Deep knowledge of WFM principles including Erlang-C modeling, capacity planning, shrinkage forecasting, and schedule optimization.
- Strong understanding of contact center KPIs and operational drivers.
- Analytical mindset with the ability to translate data into actionable business insights.
- Proficient in SQL and BI/reporting tools (Power BI, Tableau, Looker, etc.).
- Demonstrated ability to coach, motivate, and develop high-performing teams.
- Exceptional communication and interpersonal skills with the ability to influence across all levels of leadership.
- Strong organizational skills and ability to manage multiple projects in a fast-paced environment.
- Passion for process improvement, automation, and continuous learning.
Virtual Employee?
Yes
Salary Range
$69,028-$86,286 annual