Minimum qualifications:
- Bachelor's degree in Supply Chain, Engineering, Business Administration, or equivalent practical experience
- 15 years of experience in supply chain, technical infrastructure, or mission-critical environments.
Preferred qualifications:
- MBA or Master’s degree in a technical or business field.
- Experience managing multi-billion dollar asset portfolios and multi-tier global supply chains (e.g., Tier 1 integrators and Tier 2 suppliers).
- Experience with Advanced Planning Systems (e.g., Kinaxis, SAP) and advocating for AI/ML best practices to unlock process efficiency and scale.
About the job:
Behind everything our users see online is the architecture built by the AI2 team to keep it running. Within AI2, the Equipment Supply Chain (ESC) Planning organization transforms phase-level demand signals into high-accuracy equipment supply plans. We leverage Integrated Business Planning and financial stewardship to proactively mitigate capital expenditure and supply constraints, reliably meeting our customers' evolving capacity needs and supporting Google's accelerated global growth.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $281000 - $391000 (USD) + 30% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities:
- Transition to a full Integrated Business Planning model. Decouple supply from demand to drive Build-to-Stock (BTS), Build-to-Order (BTO), and Configure-to-Order (CTO) strategies. Enable "Available to Promise" (ATP) capabilities through aggregate supply positioning and allocation.Â
- Implement advanced methodologies to increase forecast precision and reduce cycle times.Â
- Optimize capital expenditure and operational expenditure flow by implementing hybrid funding models and site-agnostic procurement to remove funding releases from the critical path. Â
- Establish safety stock and cycle stock buffer models. Scale Multi-Echelon Inventory Optimization (MEIO) across all tiers to protect SLAs while increasing Inventory Turns and reducing carrying costs. Â
- Partner with ELS, ESC Operations and Delivery, Finance, and Engineering, and publish a Single Source of Truth (SSOT) for global supply plan.
Learn more about this Employer on their Career Site
