About this opportunity
Waymo LLC lists this Senior Safety Management System Analytics Specialist (SMS) opportunity in mountain view, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
In the Senior Safety Management System (SMS) Analytics Specialist role, you will lead how Waymo measures and reports on the performance of its Safety Management System
This role sits at the intersection of data analytics and executive governance: you will develop and synthesize reliable metrics across our safety processes, increase awareness and understanding of SMS performance data, and translate complex trends into recommendations for senior leaders
When metrics highlight areas for improvement, you will partner across teams to ensure owners are assigned and solutions deliver measurable results
In this role, your work will directly drive continual improvement across Waymo’s safety programs
Develop Reliable Safety Performance Indicators: Design and refine SMS implementation, maturity, and effectiveness metrics grounded in industry best practices and international safety standards, assessing and maintaining metric quality and advising teams and leaders on proper metric interpretation and use
Map & Synthesize Multi-Domain Safety Management Metrics: Collect, quality-assure, and synthesize quantitative and qualitative metrics across multiple business functions and trace them to the company’s top-line safety objectives
Run SMS Performance Reporting Governance: Lead the processes and analytics workflows used to support executive leadership review of SMS performance data and aggregated trend analyses
Translate Signals into Executive Decision Material: Partner with data science, operational, and safety teams across Waymo to distill complex multi-source data into clear, decision-oriented briefings, dashboards, and continual-improvement recommendations for senior leaders
Drive Closed-Loop Action & Effectiveness Tracking: Monitor safety performance indicators against targets and thresholds; where indicators show adverse trends or fall short of targets, confirm an accountable owner is assigned and track action items through to verified closure and confirmed effectiveness
Scale Analytics Tooling & Audit Readiness: Define requirements for data collection, visualization, and reporting tools that improve the reliability and scalability of SMS performance measurement, and support preparation for domestic and international regulatory audits and evaluations
Benefits
Medical, dental, and vision insurance for employees and dependents
Employee assistance programs focused on mental health
Personalized workplace adjustments for diverse needs and abilities, including physical, mental, and neurodivergent considerations
Access to mental health apps
Onsite wellness centers
Counseling services
Support programs including menopause benefit
Second medical opinion for you and your loved ones
Medical advocacy program for transgender employees
Competitive compensation
Regular bonus and equity performance grant opportunities
Generous 401(k) and regional retirement plans
Annual cross-company compensation review and pay equity analysis
1-on-1 financial coaching
Fertility and growing family assistance
Parental leave and baby bonding leave
Survivor income benefit
Backup childcare
Elder care and support
Caregiver leave
Paid time off, including vacation, bereavement, sick leave, parental leave, disability, and holidays
Jury duty leave
Military leave
Hybrid work model with remote work opportunities also available
Educational reimbursement
Peer learning and coaching platform
Donation matching programs
Volunteer hours
Employee resource groups
Internal community groups and local culture clubs
Inspiring spaces to work, recharge, and collaborate with fellow Waymonauts
On-site meals and snacks
Fitness centers, massage programs, and ergonomic support
On-demand fitness, wellbeing, and cooking classes
Commuter benefits
Minimum 5 years of experience in data analytics, safety or operational performance measurement, or business/technical intelligence within complex engineering, financial, transportation, or safety-critical organizationsDemonstrated expertise working with both quantitative and qualitative data and metrics, including developing metrics based on industry best practices or standards, evaluating and maintaining metric quality, and advising stakeholders on metric interpretation and limitationsProven ability to pull together and synthesize disparate metrics to drive continual improvement and verify the effectiveness of corrective actionsProficiency with modern data analytics, visualization, and reporting tools (e.g., SQL, Python/R, BI dashboards, and data pipelines) to collect, validate, and communicate performance data to executive leadership and governance committeesStrong cross-functional collaboration and communication skills, with experience translating complex technical and operational signals into clear, actionable narratives for senior decision-makers without direct authorityA Bachelor’s degree in Data Science, Computer Science, Engineering, Economics, Statistics, or a related scientific or analytic fieldExperience partnering with software/data engineering teams to define data schemas and business requirements for scalable internal analytics and reporting platformsExperience designing and running closed-loop performance governance processes, including threshold alerting, root-cause and CAPA tracking, and statistical or empirical verification of mitigation effectivenessExperience leveraging Artificial Intelligence (AI) / Large Language Model (LLM) workflows or automated data pipelines to synthesize qualitative and quantitative safety signals, detect emerging trends, and streamline executive reportingDirect experience interpreting and implementing safety performance measurement requirements from vehicle, transportation, or aviation safety regulations and standardsHands-on familiarity with automotive, transportation, or aviation Safety Management System frameworks and safety performance indicatorsAn advanced degree (Master’s or PhD) in Data Science, Computer Science, Engineering, Economics, Statistics, or a related scientific or analytic discipline
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Worksite address
mountain view, CA, 94039, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.