Technical Program Manager III, Data Analytics and Operations, Cloud Networking

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.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 aboutbenefits at Google (https://careers.google.com/benefits/) .

Responsibilities

• Develop governing policies on data quality and education partner teams to ensure that Google's global network infrastructure data is accurate, complete, and accessible.
• Work with other teams to extend Google's existing network infrastructure data tools/applications, methods, standards, and processes in support of business efficiency and automation programs.
• Manage operational and tactical data projects and programs, including assisting other teams with data management and translation, working with contractors on data entry management, and developing ETL procedures and workflows.
• Work with technical/product/project leadership aligning product and cross-organizational projects priorities/schedules.
• Design and implement build processes that increase operational effectiveness, and identify and drive their automation.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor's degree in a technical field, or equivalent practical experience.

• 5 years of experience in program management.
• Experience working with data analytics tools (e.g., SQL, BigQuery, R, etc.) and reporting platforms (e.g., Tableau, Microstrategy, Business Objects, etc.).
• Experience with networking technologies or products., * 5 years of experience managing cross-functional or cross-team projects.
• Experience in data analytics, warehousing, extract, transform, load (ETL) development, data science, or other big data applications.
• Experience with relational database design and development (e.g., SQL, MSSQL, Oracle, PostgreSQL, or MySQL).
• Experience with administration of high-availability cloud-based ESRI ArcGIS enterprise software instances with internal workflows, processes, and pipelines.
• Experience with big data concepts or technologies: analytics warehousing, data transformation, data governance, data migrations, performance, or scalability optimizations, etc.
• Knowledge in data networking architectures and physical network components.