Program Manager, Economic Partnerships and Market Intel
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in program or project management.
Preferred qualifications:
- 5 years of experience managing cross-functional or cross-team projects.
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.
As the Program Manager for Economic Partnership and Market Intel, you will lead the Economic KOF (Key Opinion Former) Partnership Program, a critical strategic initiative designed to secure the social and political licenses necessary for Google’s data center infrastructure expansion. You will manage a portfolio of regional partnerships focused on key community priorities—such as sustainability, smart agriculture, and AI education—to demonstrate Google’s commitment to local prosperity and economic impact.
Responsibilities
- Lead and independently manage the full program lifecycle, organizing activities and adjusting project "levers" such as schedule, staffing, and features, to deliver results and business outcomes on time.
- Monitor progress, communicate risks, and align cross-functional stakeholders on decisions and mitigations amidst changing circumstances.
- Manage dependencies and deliverables with related teams and functions to ensure capacity delivery.
- Identify and implement improvements to processes and services using ongoing performance measurements and success metrics.
- Apply proficient domain knowledge and leverage AI/ML technologies to independently identify opportunities for program improvements and drive future optimizations.
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