The role
From Google's own posting.
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.
As a Technical Program Manager, you will be part of a team leading Google’s efforts to manage its network infrastructure data. You should be highly motivated and be an enthusiastic collaborator as you will be working with a broad variety of people and teams across Google. You will contribute to and lead the development of improved tools, methods and procedures that will enable Google to maintain clear visibility of its network infrastructure as it continues to scale. The role is broad in nature working across many areas of expertise including data management and modeling, business analysis, project management.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
Develop data policies and educate cross-functional partners to ensure the accuracy and accessibility of Google's global network infrastructure data.
Scale network data systems and processes in collaboration with partner teams to optimize business efficiency.
Oversee tactical data projects, ETL workflow development, and contractor-led data entry operations.
Partner with cross-functional leadership to synchronize project schedules and organizational priorities.
Guide the integration of AI/ML frameworks to automate physical inventory data auditing, proactively identifying anomalies to accelerate data reconciliation and guarantee high integrity.
Minimum qualifications:
Bachelor's degree in a technical field or equivalent practical experience.
5 years of experience in program management.
Experience with big data concepts or technologies (e.g., analytics warehousing, data transformation, data governance, data migrations, or performance or scalability optimizations, etc.).
Experience working with data analytics tools (e.g., SQL, BigQuery, R, etc.) and reporting platforms (e.g., Tableau, Microstrategy, Business Objects, etc.).
Preferred qualifications:
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.
Knowledge in data networking architectures and physical network components.
Bachelor's degree in a technical field or equivalent practical experience.
5 years of experience in program management.
Experience with big data concepts or technologies (e.g., analytics warehousing, data transformation, data governance, data migrations, or performance or scalability optimizations, etc.).
Experience working with data analytics tools (e.g., SQL, BigQuery, R, etc.) and reporting platforms (e.g., Tableau, Microstrategy, Business Objects, etc.).