Technical Program Manager III, Data and Analytics, Cloud Learning Services

Location Preference: Candidates can select preferred working location: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA. Minimum Qualifications Bachelor's degree in a relevant field, or equivalent practical experience. 5 years of experience in program management. Experience in data analytics using SQL and Python. Experience with the end-to-end software development life cycle (e.g., build, test, and release). Preferred Qualifications Master's degree, PhD, or equivalent practical experience in Engineering, Computer Science, or other related technical fields. 5 years of experience managing cross-functional or cross-team projects. Strong technical understanding of large language models (LLMs), retrieval-augmented generation (RAG), or the broader AI/ML development lifecycle. Excellent communication and presentation skills and ability to distill complex technical concepts into clear, actionable updates for stakeholders and leadership. About The Job As a Technical Program Manager, you will lead execution efforts for high-impact data programs that span multiple organizations and product areas. You will orchestrate the end-to-end creation of analytical reporting assets and robust data infrastructure, while driving the CLS AI data strategy to facilitate business excellence. You will lead cross-functional projects, negotiating scope and timelines with technical dependencies to accelerate data-informed decision-making. You will leverage your deep expertise in data engineering to lead efforts on domain and service improvements that directly support organizational growth. You will work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. Responsibilities Oversee end-to-end execution and strategic delivery of complex data pipelines and infrastructure projects to ensure alignment with organizational goals. Drive cross-functional alignment by serving as the primary interface between executive leadership and technical teams (engineers, product, and scientists) to deliver high-impact data products. Manage the AI roadmap and oversee the execution of strategic AI initiatives and platforms. Negotiate technical dependencies, scope, and timelines related to data infrastructure to support launches and platform improvements. Optimize workflows and address operational needs by implementing automated tools and processes, while managing bug fixes and ad-hoc service requests. Compensation & Benefits US: $163,000 - $237,000 (USD) + 15% bonus target + bonus + equity + benefits. Learn more about benefits at Google. Equal Employment Opportunity 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. #J-18808-Ljbffr Google