Tech Program Manager, Data Engineering & Data Centers

Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 5 years of experience in program management. Experience in SQL or Python. Experience in data engineering or systems management (e.g., data warehousing, data analytics, business intelligence, visualization, data governance, data architecture, system integration). Preferred qualifications: 5 years of experience managing cross-functional or cross-team projects. Experience in modern data warehouses using cloud based solutions from data sources, predictive analytics, or machine learning. Experience leading and delivering data-focused programs. Experience with executing change management or program strategy. 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 a Technical Program Manager, you will work with the Data Center business stakeholders to understand their data issues and challenges, utilize your technical knowledge to build and deploy simple, efficient, secure, and scalable data solutions, services, insights, and analytics. 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 $142,000-$211,000 + 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 for new hire 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 Engineering leads to launch scalable and reliable data solutions, support system integration efforts, and create operational efficiencies through automation and process improvements. Lead multiple data-solution programs, including coding responsibilities covering data pipelines, visualizations, data alerts, advanced analytics, and machine learning methods, translating raw data into strategic insights and recommendations for leadership and business teams. Lead the technical delivery, implementation and business adoption of new scalable and reliable data analytics and business intelligence solutions for cross-functional teams. Implement predictive/advanced analytics and machine learning to manage data for delivering strategic insights, and recommendations to business stakeholders and decision-makers. Manage program deliverables from project inception to implementation and resource oversight. #J-18808-Ljbffr Google