Technical Program Manager II, Data and Analytics, Devices and Services

Google•Mountain View, CA

About The Position

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The Central Operations Analytics team's (COAT) mission is to improve quality and manufacturing through data-driven decision-making. The team operates on governing quality return rates forecast through in-house developed algorithms, owning the strategy and development of scalable data tools, innovating by prototyping generative AI and advanced dashboards, and leading analytics to solve business problems. Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices and Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices and Services team is making people's lives better through technology.

Requirements

Bachelor's degree in a technical field, or equivalent practical experience.
2 years of experience in program management.
Experience in data analytics and scripting in SQL or Python.
Experience with consumer hardware products (e.g., laptops, phones, smart watches, etc.).

Nice To Haves

2 years of experience managing cross-functional or cross-team projects.

Responsibilities

Own the tool roadmap and execution strategy for product quality, driving the development and deployment of advanced data solutions and diagnostic systems.
Drive strategic direction by translating technical analyses into program roadmaps and insights for cross-functional teams and executives.
Manage the lifecycle of AI-driven solutions, overseeing the design and construction of advanced data pipelines and predictive models (e.g., yield, test escapes) to solve operations challenges.
Direct the development of specialized tools for root cause analysis, station diagnostics, and statistical process control (SPC), ensuring the implementation of scalable and repeatable processes.
Provide training and mentorship to uplevel AI skillsets and cultivate a data-driven culture within the organization, fostering technical excellence across teams.