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Minimum qualifications:
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, a related technical field, or equivalent practical experience.
- 5 years of experience in program management.
- 5 years of experience in scripting languages, specifically Python, for data manipulation, statistical analysis, and task automation, including building and maintaining automated data pipelines (ETL/ELT) to ensure data quality and availability.
- Experience in overseeing the delivery of data-driven or technical initiatives.
Preferred qualifications:
- Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field.
- 5 years of experience in semiconductor manufacturing and testing.
- Experience in manufacturing, quality, reliability, or product engineering related industries.
- Experience in advanced data visualization tools like Tableau, Power BI, or Looker, with a focus on creating actionable insights and executive-level dashboards.
- Experience overseeing the AI/ML lifecycle, including the deployment of machine learning models into production and the continuous monitoring of their performance to ensure long-term reliability.
- Familiarity with cloud platforms (e.g., Google Cloud Platform (GCP)) and their native data warehousing solutions.
About The Job
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.
Responsibilities
- Develop and implement data-driven solutions to improve custom silicon assembly and test manufacturing efficiency, yield, and product quality.
- Utilize statistical analysis and machine learning techniques to analyze large datasets of semiconductor production data, identify trends, and predict potential issues.
- Create automated data pipelines and dashboards to monitor Key Performance Indicators (KPIs) and provide real-time insights to stakeholders.
- Collaborate with cross-functional teams to gather data requirements, develop data analysis strategies, and communicate findings effectively.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
