Regional Commercial Ops Lead - AI & Energy

Google; Thornton (CO); On-site; USD 159,000 - 230,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google seeks a Program Manager within the Global Infrastructure and Energy organization to lead complex, multi-disciplinary projects from start to finish, coordinating stakeholders across offices and time zones to meet requirements, schedules, and deadlines.

In this role you will help negotiators land agreements quickly, manage budgets and forecasts, and drive adoption of new processes across regional teams, leveraging AI to optimize analyses and outcomes.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in program or project management.
• 2 years of experience in the energy sector.

Responsibilities

• Analyze and report unit costs associated with network acquisition agreements to inform leadership business strategy and equip negotiators for future discussions.
• Track utilization of approved budgets against contract execution, and prepare the essential data for regular leadership reporting.
• Collaborate closely with regional teams to ensure accurate entry of key agreement terms, project details, and forecasts into required tools, confirming adherence to established processes.
• Liaise with central program manager to implement changes in the region, driving awareness and adoption.
• Apply AI to automate processes and perform complex analyses.

Skills

Program management

Energy sector experience

Cross-functional collaboration

Education

Bachelor's degree or equivalent practical experience

Job description

Google seeks a Program Manager within the Global Infrastructure and Energy organization to lead complex, multi-disciplinary projects from start to finish, coordinating stakeholders across offices and time zones to meet requirements, schedules, and deadlines.

In this role you will help negotiators land agreements quickly, manage budgets and forecasts, and drive adoption of new processes across regional teams, leveraging AI to optimize analyses and outcomes.