Senior Staff Business Systems Analyst, Supply Chain Business Systems
Google Sunnyvale, California, United States · $236K–$329K/yr
Software Development · 10,001+ employees
About the role
Lead the long-term business systems strategy and integrate AI into core supply chain systems to improve efficiency. Act as the primary systems expert to align technology solutions across Cloud, Core Engineering, and Finance units.
What they look for
Requirements
Requires a bachelor's degree and at least 12 years of experience in system architecture, design, and analysis. Preferred experience includes leading ERP implementations and leveraging AI/ML within supply chain solutions.
Benefits
Full description
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 12 years of experience with system architecture, system design, and system analysis.
- Experience with solution implementation, solution validation, and systems configuration.
Preferred qualifications:
- Experience leading solution architecture and systems integrations.
- Experience in supply chain solutions leveraging AI/ML.
- Experience with full cycle ERP solution implementation in supply chain.
- Knowledge of supply chain planning processes and planning models.
- Excellent problem solving and communication skills, with a demonstrable bias toward action.
About the job:
At Google, we work at lightning speed. So when things get in the way of progress, the Business Systems Integration team steps in to remove those roadblocks. The team identifies time-consuming internal processes and then builds solutions that are reliable and scalable enough to work within the size and scope of the company. You listen to and translate Googler needs into high-level technical specifications, design and develop recommended systems and consult with Google executives to ensure smooth implementation. Whether battling large system processes or leveraging our homegrown suite of Google products for Googlers themselves, you help Googlers work faster and more efficiently.
With your technical expertise, you build business applications and influence the design of features that improve the reliability of our applications and systems. You also define the scope of technical projects and oversee execution.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $236000 - $329000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google. Responsibilities:
- Lead the creation and communication of a long-term business systems strategy that scales with the business and supports cross-functional goals.
- Act as the primary systems expert and liaison to foster partnerships and secure alignment on technology solutions across units like Cloud, Core Engineering, and Finance.
- Prioritize and lead projects that integrate AI into core supply chain systems to improve business value, efficiency, and decision-making.
- Provide leadership for strategic and complex system implementations, ensuring they are delivered within budget, on time, and meet quality standards.
- Drive the adoption of SAP and other third-party vendors by transforming their capabilities to modernize processes and maximize Return on Investment (ROI) across the supply chain.
