Minimum qualifications:- Bachelor's degree in a technical field, or equivalent practical experience.
- 2 years of experience in program management.
- Experience with tooling and automation development.
- Experience working with data analytics tools (e.g., SQL, BigQuery, R, etc.) and reporting platforms (e.g., Tableau, Microstrategy, Business Objects, etc.).
Preferred qualifications:- 2 years of experience managing cross-functional or cross-team projects.
- Experience extracting and manipulating data and writing automation scripts to streamline workflows (e.g., SQL, Python, Appscript, etc.).
- Experience managing cross-functional projects and driving alignment between technical and non-technical stakeholders.
- Experience developing interactive reporting dashboards and working with BI visualization tools.
- Passion for learning new AI frameworks, rapid prototyping, with the ability to drive results.
About the jobIn this role, you will be the technical engine behind Google's network demand planning. You will design, build, and maintain the business intelligence infrastructure, reporting dashboards, and data pipelines necessary to optimize our demand plan. You will deliver forecast accuracy and drive towards autonomous planning, you will write scripts to automate complex data workflows, manipulate large datasets within back-end tables, and extract insights into network demand trends. You will partner closely with Cloud Networking product, data science, engineering, and planning teams to translate complex business requirements into technical solutions, automated processes, and scalable data models.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $198000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Build, maintain, and optimize complex queries, automated scripts, and interactive reporting dashboards to generate the demand plan, visualize network demand trends, and surface business insights.
- Lead the development of internal tools and data pipelines. Leverage scripting and back-end data manipulation to automate manual workflows, reduce planning cycle times, and drive the transition toward autonomous planning.
- Design and implement the backend data structures and reporting frameworks required to seamlessly operationalize the demand and forecasting processes for new network products and architectures.
- Act as the bridge between technical and business teams. Partner closely with engineering, data science, and planning groups to translate organizational OKRs into scalable data models and BI solutions, while balancing competing priorities.
