WFM Team Lead (Night Shift) – Data-Driven Scheduling

TASQ

Makati

On-site

PHP 360,000 - 600,000

Full time

14 days+
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Job summary

TASQ is seeking a seasoned Workforce Management Supervisor to lead a high‑performing WFM team in a dynamic BPO environment in Davao/MOA Pasay. You will drive scheduling, forecasting accuracy, and agent productivity while partnering with operations and HR to anticipate staffing demands.

The ideal candidate has at least 12 months of WFM supervisory experience, a background in Business Management or Computer Science, and proven proficiency in scheduling software and Microsoft Excel.

Qualifications

  • 12 months+ experience supervising a Workforce Management team in a BPO
  • Background in Business Management or Computer Science
  • Able to start ASAP
  • Excellent analytical, organizational and problem‑solving capabilities
  • Proficient in scheduling software and Microsoft Excel
  • Ability to juggle multiple priorities in a fast-paced setting

Responsibilities

  • Inspire and guide the Workforce Management Team to deliver exceptional scheduling, accurate forecasting, and maximize agent productivity.
  • Partner closely with operations and HR to anticipate staffing demands and tackle workforce challenges.
  • Leverage workforce data analysis, produce insightful reports, and deploy innovative WFM tools to drive smart decision‑making and enhance operational efficiency.

Skills

WFM supervision
Analytical skills
Organizational skills
Problem solving
Excel proficiency
Scheduling software

Education

Business Management / Computer Science

Tools

Scheduling software

Job description

TASQ is seeking a seasoned Workforce Management Supervisor to lead a high‑performing WFM team in a dynamic BPO environment in Davao/MOA Pasay. You will drive scheduling, forecasting accuracy, and agent productivity while partnering with operations and HR to anticipate staffing demands.

The ideal candidate has at least 12 months of WFM supervisory experience, a background in Business Management or Computer Science, and proven proficiency in scheduling software and Microsoft Excel.

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