Program Manager (Regulatory Reporting)

Waymo

United States Posted September 26, 2026

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Remote Full-time Senior
Salary Range

$190,000 - $234,000

Job Description

Join our team as a Program Manager (Regulatory Reporting) and drive outcomes for large and complex technical operations programs. You will partner with the Regulatory Compliance team, define program KPIs and SLAs, and drive workflow transformation efforts. You will also communicate overall program status to executive stakeholders and mentor a high-performing team of Technical Specialists. Enjoy a comprehensive benefits package, including medical, dental, and vision insurance, mental health support, competitive compensation, and a hybrid work model.

  • Drive outcomes for large and complex technical operations programs that span multiple organizations, and develop and execute strategic roadmaps.
  • Partner with the Regulatory Compliance team to operationalize reporting requirements and be responsible for standing up new workflows and scaling existing workflows.
  • Define program/workflow KPIs and SLAs, drive high-quality outcomes through deployments, and drive workflow transformation efforts to meet evolving business needs.
  • 10+ years of experience managing complex, tech-enabled operations and experience working across cross-functional partners (Legal, Product, Engineering, Data Science, Systems Engineering) to drive outcomes
  • 5+ years of people management experience
  • Bachelor's degree in technical, legal or business discipline
  • Proven ability to manage complex technical operations programs, including structuring project plans, identifying dependencies, and driving execution
  • Ability to thrive in a high ambiguity, dynamic environment
  • Experience in Regulatory Compliance, Vehicle Qualification, or similar domains, and ability to assess and operationalize legal reporting requirements
  • Experience within A / V space
  • Experience with Lean / Six Sigma process improvement methodologies
  • Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring
  • Experience working with offshore teams / multiple local operations hubs
Required Skills
compliance KPIs transformation roadmapping cross-functional collaboration data science people leadership Lean Six Sigma process improvement machine learning compensation Sigma
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