- Bachelor’s degree or equivalent practical experience.
- 5 years of experience in program or project management.
- Experience in supply chain analytics.
- 10 years of experience in developing and managing supply chain analytics programs.
- 5 years of experience managing cross-functional or cross-team projects.
- Experience influencing teams and helping the supply chain business prioritize and define value.
- Understanding of Anylogic or other advanced simulation and modeling tools.
Understanding of SQL, Python, and applied Machine Learning.
- Understand business requirements and align supply chain design strategies accordingly.
- Convert operational supply chain processes into dynamic analytical models for quick decision-making.
- Develop user-friendly supply chain models and conduct scenario analyses using various tools.
- Manage delivery of advanced analytics solutions, including ML models and simulations, by overseeing sprint planning and progress monitoring.
- Drive change management through documentation, training, and webinars for self-service analytics.
- Lead complex analytic projects, providing technical and programmatic guidance to analysts and teams.
At Google, we believe that a problem isn’t truly solved until it benefits everyone. That’s why our team of Googlers is dedicated to building products that create opportunities for people around the world, whether they’re just down the street or on the other side of the globe. As a Program Manager at Google, you’ll be responsible for leading complex, multi-disciplinary projects from start to finish. This involves working closely with stakeholders to define requirements, manage project schedules, assess risks, and communicate effectively with cross-functional partners across the company. Your role will often require coordinating with teams located in different offices, time zones, and hemispheres, ensuring everyone stays updated on progress and deadlines.
Our mission at Google is to create a diverse and inclusive workplace that mirrors the world around us. We’re committed to fostering an environment where Googlers can thrive and grow. As part of this effort, we integrate diversity, equity, and inclusion into all aspects of our work, striving to cultivate a sense of belonging throughout the company.
Within our team, our objective is to facilitate efficient decision-making across the data center supply chain by fostering trust and enabling insightful data exploration. We collaborate across functions to develop and promote easily accessible, trustworthy data, as well as interpretable, high-impact analytics and advanced modeling techniques. Our partnerships with various supply chain teams, such as sourcing, manufacturing, finance, and logistics, aim to enhance data center readiness through data-driven decision-making. Our approaches encompass data curation, interactive visualizations, machine learning model development for process automation, and the creation of self-service analytics capabilities.
The Technical Infrastructure team at Google plays a crucial role in maintaining the architecture that powers everything our users see online. From managing and optimizing our data centers to innovating the next generation of Google platforms, we make Google’s diverse product portfolio possible. As the engineers behind the scenes, we take pride in dismantling and rebuilding systems to ensure our networks remain operational, delivering the best and fastest user experience possible.
The US base salary range for this full-time position is $136,000-$203,000, with additional compensation such as bonuses, equity, and benefits. Please note that salary ranges vary based on role, level, and location, and the displayed range reflects the minimum and maximum targets for new hire salaries across all US locations. Your recruiter will provide more specific salary information tailored to your preferred location during the hiring process. It’s important to note that the compensation details listed in US role postings only include the base salary and do not account for bonuses, equity, or benefits. You can learn more about our benefits at Google.