Global Operations & Process Optimization Lead

Google Inc.

Atlanta (GA)

Hybrid

USD 136,000 - 197,000

Full time

14 days+

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Benefits offered by this job

Equity grant
Bonus target 15%
Hybrid schedule
Benefits determined by role

Job summary

Google Inc. in Atlanta, GA is seeking a Mid-level Operations Manager to drive vendor operations and global process improvements. You will mentor junior team members while collaborating with cross-functional partners to scale new product operations.

Candidate should have 5+ years in operations management with experience in Kaizen/Six Sigma/Lean, data analysis, and project leadership; hybrid work arrangement may apply in line with policy.

Qualifications

  • Bachelor’s degree in Business Administration or related field plus 7 years in operations/OM.
  • Alternative: MBA or related Master’s with 5 years in operations management.
  • 5 years in managing scaled global vendor operations and outsourcing strategy.

Responsibilities

  • Drive continuous improvement by identifying cost/quality opportunities and leading optimization projects.
  • Develop, publish, and optimize operational metrics and dashboards to track performance.
  • Manage stakeholder relationships with internal data center customers for service alignment.
  • Resolve high-priority escalations using root-cause analysis and preventive measures.
  • Lead SOP creation and maintenance; manage budgets, invoices, and capital projects.

Skills

Vendor operations
Outsourcing strategy
Cross-functional collaboration
Project management
Data analysis
Kaizen/Six Sigma/Lean

Education

Bachelor’s degree in Business Administration
MBA / Master’s degree in related field

Job description

Google Inc. in Atlanta, GA is seeking a Mid-level Operations Manager to drive vendor operations and global process improvements. You will mentor junior team members while collaborating with cross-functional partners to scale new product operations.

Candidate should have 5+ years in operations management with experience in Kaizen/Six Sigma/Lean, data analysis, and project leadership; hybrid work arrangement may apply in line with policy.

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