Head of Planning Automation for Equipment Supply Chain

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA . Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 10 years of experience in program management. 7 years of experience in leadership roles with/without direct reports. Preferred qualifications: 10 years of experience in technical program management, software engineering, or data architecture driving large-scale system transitions. Experience in supply chain data architecture or large-scale enterprise planning engines (e.g., Kinaxis, SAP, E2Open). Experience in quantitative methods, applied statistics, data modeling, or operations research to effectively evaluate automated planning algorithms and predictive supply chain models. Proficiency in SQL/BigQuery, data schema design, data pipeline (ETL) management, and core troubleshooting. Track record of evaluating upstream and downstream software impacts across complex API integrations and distributed databases. About The Job Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers. Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams. In this role, you are a pragmatic visionary leader with exceptional ability to translate long-term infrastructure investment trade-offs into quantitative solvers. You possess the technical sophistication to build the digital frameworks that orchestrate data and insights in the highly complex multi-disciplinary investment of data center equipment planning. You have the technical sophistication to build data flows and process optimization in the AI Era. Within Data Center (DC) equipment planning, you will act as the critical technical translator bridging high-level business planning objectives with complex engineering execution. You will own the technical roadmap to transition our DC equipment planning from current planning solutions, manual, spreadsheet-based workflows into a highly integrated, automated AI-First software ecosystem. You will drive technical architecture across multiple cross-functional teams, perform system-level due diligence, and define foundational data models. 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 …

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