AI-Powered WFM Capacity & Analytics Lead

Gusto

Scottsdale (AZ)

Hybrid

USD 99,000 - 129,000

Full time

2 days ago
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Benefits offered by this job

Equity (RSUs)
Competitive base pay
Benefits coverage across roles
Office presence in Denver / SF / NYC

Job summary

Gusto is seeking a senior, technically minded workforce management planner to design and scale AI-powered forecasting systems. You will report into Planning People Empower and lead AI adoption across forecasting, scheduling, and intraday operations, building frameworks and governance for predictive WFM.

This role blends strategic design with hands-on execution, requiring strong analytics, data pipelines, and a capacity planning mindset.

Qualifications

  • Bachelor's degree or equivalent experience.
  • 7+ years in capacity planning and forecasting.
  • Experience building or managing data pipelines across WFM data sources.
  • Demonstrated ability to lead cross-functional initiatives.

Responsibilities

  • Use AI to identify demand shifts, seasonal patterns, and workforce risks before they impact operations.
  • Connect AI insights to staffing, scheduling, and capacity planning decisions.
  • Develop and maintain capacity plans with recommendations on hiring and efficiency.
  • Design scalable AI-enabled WFM workflows across forecasting, scheduling, and intraday functions.
  • Lead cross-functional AI initiatives for WFM and influence planning and operations practices.

Skills

AI forecasting
Data visualization
Forecasting
Cross-functional leadership
Stakeholder communication
WFM knowledge

Education

Bachelor's degree or equivalent

Tools

SQL
Python
BI dashboards

Job description

Gusto is seeking a senior, technically minded workforce management planner to design and scale AI-powered forecasting systems. You will report into Planning People Empower and lead AI adoption across forecasting, scheduling, and intraday operations, building frameworks and governance for predictive WFM.

This role blends strategic design with hands-on execution, requiring strong analytics, data pipelines, and a capacity planning mindset.

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