Global Capacity Planning & Workforce Strategy Lead

Google

Kirkland (WA)

On-site

USD 171,000 - 247,000

Full time

14 days+
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Benefits offered by this job

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
401(k) with company match
Paid Time Off
Sick Time
Maternity Leave
Baby Bonding Leave
Holidays

Job summary

Google is seeking a Senior Workforce Strategy and Capacity Planning Manager within Google Play Trust and Safety Operational Excellence to direct capacity planning across global reviewer operations. You will partner with Demand Governance, Vendor Management, Operations, and Analytics to translate business priorities into actionable workforce supply models.

In this role you will govern long-range plans and mid-range rebalancing cadences, evaluating AI/automation impacts on OpEx and optimizing

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience in data analytics, Trust and Safety, policy, workforce management, business strategy, program management, or related fields.

Responsibilities

  • Drive dynamic capacity rebalancing and optimize global reviewer allocation.
  • Use data analysis and predictive modeling to inform priorities at the executive level.
  • Analyze the capacity and OpEx effects of AI, automation, and policy launches.
  • Monitor queue performance, intraday service levels, and scheduling adherence.
  • Provide impact analyses and identify ongoing productivity and OpEx savings opportunities.

Skills

Data analytics
Policy understanding
Workforce management

Education

Bachelor's degree or equivalent
Master's degree or MBA

Job description

Google is seeking a Senior Workforce Strategy and Capacity Planning Manager within Google Play Trust and Safety Operational Excellence to direct capacity planning across global reviewer operations. You will partner with Demand Governance, Vendor Management, Operations, and Analytics to translate business priorities into actionable workforce supply models.

In this role you will govern long-range plans and mid-range rebalancing cadences, evaluating AI/automation impacts on OpEx and optimizing

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