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Supply Chain Risk Management Program Manager, Cloud

Job

Google

Sunnyvale, CA (In Person)

$231,500 Salary, Full-Time

Posted 1 week ago (Updated 12 hours ago) • Actively hiring

Expires 6/18/2026

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Job Description

Supply Chain Risk Management Program Manager, Cloud corporate_fare Google place Sunnyvale, CA, USA bar_chart Advanced Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Minimum qualifications:
Bachelor's degree or equivalent practical experience. 8 years of experience in program or project management within supply chain management, operations, or management consulting. 8 years of experience working with a global supply base on execution topics. 8 years of experience in risk and compliance implementation, supervision, management. 5 years of experience in operations management involving the use of AI tools.
Preferred qualifications:
8 years of experience managing cross-functional or cross-team projects. Excellent communication skills, problem-solving skills and strong business acumen. 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 a Supply Chain Risk Program Manager, you will lead specific initiatives to improve Cloud Supply Chain and Operations (CSCO) ability to monitor, assess, and address a variety of supply chain risk factors. You will partner with cross-functional stakeholders across CSCO and with external partners including suppliers, contract manufacturers and logistics providers to improve the resilience of our extended supply chain network, business processes, tools, and performance. 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 $189,000-$274,000 + 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 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 . Responsibilities Identify, organize, and lead program activities and stakeholders to assess and address risk factors impacting our extended supply chain. Develop scalable and sustainable solutions to measure risk exposure and engage with cross functional partners to manage and mitigate risk. Including; creating Responsible, Accountable, Consulted, Informed (RACI), program structure and framework, communication plans, Objectives and Key Results (OKRs), and influence prioritization. Leverage AI to develop tools and processes to successfully deliver business, operational, and technical improvements including metrics, data analytics, and metrology. Develop program strategies and content to present to leaders and executives. Track geo-political trends, industry impacting policy changes, regulatory changes, and other potential supply chain impacting events and proactively determine an approach to address them. Contribute to the overall Risk and Compliance strategy leveraging supply chain experience and subject matter expertise.

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