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X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Reston, VA, USA; Atlanta, GA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in EHS program management or project management.
- Experience in AL/ML integration across data platforms.
Preferred qualifications:
- Professional certifications in Project Management (e.g., PMP).
- Experience with the development and deployment of EHS management software and tools.
- Track record of successfully leading complex cross functional projects and portfolio level programs.
- Excellent communication and collaboration skills, paired with a strong demonstrated executive presence.
- Strong analytical capabilities and problem solving skills demonstrated through clear quantifiable project outcomes.
About the job
A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to finish - working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $159000 - $231000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
- Design robust data pipelines and a secure, centralized EHS data warehouse to transform compliance feeds into actionable safety insights.
- Lead the integration of predictive AI models and emerging safety technologies to transition EHS capabilities from reactive tracking to proactive hazard mitigation.
- Build interactive dashboards, automated compliance scorecards, and advanced analytical features to advance the impact and maturity of internal safety applications.
- Manage complex analytics projects, ensuring seamless integration between EHS data systems and core operations platforms to automate incident workflows and reporting.
- Prioritize critical data initiatives across safety, engineering, and partner operations teams to foster alignment and drive the execution of technical EHS visions.
