Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in program or project management.
  
• 8 years of experience working with data analytics tools, and reporting platforms applied to supply chain and operations.
• 5 years of experience in a people management role.

Preferred qualifications:

• Experience developing data-driven insights and presenting recommendations in a supply chain management consulting setting.
• Experience conveying complex data insights through succinct visualizations (e.g. Looker).
• Experience leading development of machine learning models or AI agents applied to practical supply chain situations.
• Ability to communicate with and influence leaders in a supply chain setting.
• Excellent organization, prioritization and execution skills.

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.

Our team's purpose is to enable efficient decision-making across Cloud Supply Chain and Operations (CSCO) by developing trust and promoting insightful data discovery. Our mission is to become a strategic advantage for CSCO by partnering cross-functionally to develop, and promote, trusted easy-to-use data, interpretable analytics through dashboards, visualizations and AI.

We are a fun team with passion for solving supply chain problems via data analytics with practical applications in Google's data center supply chain. We work closely with functional teams across the supply chain (e.g., sourcing, manufacturing, logistics, finance, etc.) to improve data center readiness through data-driven decisions. Our methods range from working on data curation and interactive visualizations. We also develop capabilities that enable self-serve analytics in the organization such as AI agents.

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

The US base salary range for this full-time position is $174,000-$258,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.



Responsibilities

• Lead an analytics team and partner with supply chain leaders to define strategy, set objectives and key results, and prioritize data initiatives.
• Manage the end-to-end delivery of analytics solutions, overseeing sprint planning, capacity management, and progress tracking to ensure successful execution.
• Build and deploy dashboards, predictive models, AI agents, and "what-if" analyses to drive business decisions, acting as the strategic link between technical teams and stakeholders.
• Ideate and implement process improvements to refine the operational model and enhance the efficiency of data solution delivery.
• Drive change management and self-serve adoption through the creation of comprehensive documentation, training, and educational webinars.

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Requisition #: 90160581301936838

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