EHS Data & Analytics Program Manager (AI-Driven)

Google; San Francisco (CA); On-site; USD 159,000 - 231,000; Full time

Job summary

Google in San Francisco is seeking a Program Manager to lead cross-functional, data-driven EHS projects from requirements through delivery. You will coordinate stakeholders across safety, engineering, and operations to drive proactive hazard mitigation using AI and advanced analytics.

The role emphasizes building scalable data platforms, dashboards, and automated reporting, with a strong focus on cross-office collaboration and impact across the organization.

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.

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.

Skills

Project management

EHS program management

AL/ML integration

Education

Bachelor's degree or equivalent

Tools

EHS software tools

Job description

Google in San Francisco is seeking a Program Manager to lead cross-functional, data-driven EHS projects from requirements through delivery. You will coordinate stakeholders across safety, engineering, and operations to drive proactive hazard mitigation using AI and advanced analytics.

The role emphasizes building scalable data platforms, dashboards, and automated reporting, with a strong focus on cross-office collaboration and impact across the organization.