Technical Program Manager, AI Governance Infrastructure
Sunnyvale, CA, USA; Kirkland, WA, USA
Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience in program management.
- Experience in Machine Learning or Artificial Intelligence.
Preferred qualifications:
- 8 years of experience managing cross-functional or cross-team projects.
- 7 years of experience in technical program management with a focus on data and model governance, infrastructure, or automation projects.
- 3 years of experience working on machine learning infrastructure projects.
- 1 year of experience with Safety Classifier enablement.
- Knowledge of data governance principles, data management technologies, and automation frameworks.
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.
Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.
As the Technical Program Manager for AI Governance Infrastructure, you will lead cross-functional teams across multiple organizations to develop and implement infrastructure.
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.
The US base salary range for this full-time position is $168,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.The US base salary range for this full-time position is $168,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Collaborate with engineers, product managers, legal experts, privacy/security experts, and other stakeholders to define and execute comprehensive data and model governance programs.
- Collaborate with partners to develop and enhance data filtering mechanisms, establish mechanisms for ensuring data quality, accuracy, and compliance with regulatory requirements.
- Support communication and collaboration between diverse teams across organizations to ensure alignment on data governance goals and strategies.
- Monitor and optimize the performance of automated processes, identify areas for improvement, and implement optimizations to enhance efficiency and scalability.
Tags: AI governance Data governance Data management Data quality GCP Google Cloud Machine Learning ML infrastructure Privacy Security
Perks/benefits: Career development Equity / stock options Salary bonus
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