Technical Program Manager III, Advanced Analytics, Google Data Center

Google•Kirkland, WA

3d•$163,000 - $236,000

About The Position

As a Technical Program Manager at Google, you will lead complex, multidisciplinary projects for Google’s Data Center teams from planning through delivery. You will work with internal customers and stakeholders to define requirements, manage schedules and resources, identify risks, and communicate goals across project teams. The role involves architecting, executing, and delivering data ingestion, leadership visualizations and insights, data warehouse infrastructure and data models, and advanced analytics leveraging machine learning and AI. You will design and implement data solutions using Google Cloud Platform, including data warehouse infrastructure, data structures, batch and real-time data pipelines, predictive analytics, and machine learning models. You will translate data and model results into strategic insights and recommendations for leadership and business stakeholders. The work supports uptime in critical data center operations and improves the operating efficiency of teams designing and building Google’s data center footprint. Google Cloud provides enterprise-grade technology and tools to organizations in more than 200 countries and territories. Individual pay is based on job-related skills, experience, and relevant education or training. The listed US salary range is $163,000–$236,000, plus a 15% bonus target, equity, and benefits.

Requirements

Bachelor’s degree in Information Systems, Computer Science, Data Science, Analytics, Mathematics, or equivalent practical experience.
5 years of experience in program management.
Experience in SQL, Python, or BigQuery.
Experience in advanced analytics or AI/ML model-based solutions, and data engineering or systems management, such as data warehousing, data analytics, business intelligence, visualization, data governance, data architecture, or system integration.

Nice To Haves

5 years of experience managing cross-functional or cross-team projects.
Experience with modern data warehouses using cloud-based solutions from data sources, predictive analytics, or machine learning.
Experience leading and delivering data-focused programs.
Experience executing change management or program strategy.
Experience developing batch and real-time streaming data pipelines using Google Cloud Platform BigQuery, Dataflow, and Publish/Subscribe from data sources such as Oracle or SAP.

Responsibilities

Design and implement data warehouse infrastructure, data structures, batch and real-time data pipelines, predictive analytics, and machine learning models using Google Cloud Platform.
Translate data and model results into strategic insights for leadership and business stakeholders.
Lead multiple data-solution programs, including coding for data pipelines, visualizations, data alerts, advanced analytics, and machine learning methods.
Translate raw data into strategic insights and recommendations for leadership and business teams.
Manage program deliverables from project inception through implementation, including resource oversight.
Manage datasets to extract business insights that help maintain uptime of critical data center operations and increase the operating efficiency of teams responsible for designing and building Google’s data center footprint.
Plan project requirements, schedules, risks, and goals with internal customers, stakeholders, and cross-functional partners.