Drive digital transformation within Google Cloud by leading complex, multi-disciplinary programs focused on product operations. This role offers the chance to leverage your technical acumen to solve challenges across the organization, ensuring that products and processes are optimized for efficiency and scale. You will be instrumental in developing and implementing solutions that enhance how we operate, making a tangible impact on our ability to serve customers globally.

Spearhead initiatives to automate manual processes through the development of tools and scripts, enhancing operational efficiency. Design, develop, and manage systems for automating supply chain and manufacturing operations. Translate intricate technical issues into clear, actionable summaries for management and cross-functional teams. Prepare executive-level presentations and reports, distilling complex data into strategic insights. Provide comprehensive program management, including process development, template creation, and reporting mechanisms to ensure seamless project execution.

Apply AI/ML proficiency to automate end-to-end processes, streamline coordination, and accelerate program delivery. Foster strong communication and coordination between diverse teams. Ensure smooth execution of all program activities by establishing robust processes and reporting structures.

A Bachelor's degree in a technical field or equivalent practical experience is required. Minimum of 2 years in Technical Program Management is essential. Demonstrated experience in Hardware Manufacturing, Manufacturing AI, Program Management, Data Visualization, and Exploratory Data Analysis is expected. Familiarity with Shop Floor Control (SFC), Manufacturing Execution Systems (MES), or similar factory automation data sources is beneficial.

Preferred qualifications include experience in high-volume factory operations, NPI, process management, and working with contract manufacturers. Proficiency in data analytics, data visualization, and architecting business intelligence solutions using SQL and Python is advantageous. The ability to present complex data analysis and yield trends to executive leadership is highly valued. A solid understanding of applied statistics, quantitative analysis, and basic machine learning concepts for manufacturing operations is also a plus.