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Technical Program Manager III, Advanced Analytics, Google Data Center

Google
Sunnyvale, USA
Manager · 5+ years experience
Onsite
USD 163000-236000 / year
Discovered 1 weeks ago
bigquerygcppythonsapsql

Full Job Posting

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 (GCP), translate data and model results into strategic insights for leadership and business stakeholders.
  • 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.
  • Manage all aspects of program deliverables from project inception to implementation and resource oversight.
  • Manage datasets to extract business insights that help maintain up-time of critical data center operations, and increase operating efficiency of teams responsible for designing and building Google’s data center footprint.

Minimum qualifications:

  • 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 (e.g., data warehousing, data analytics, business intelligence, visualization, data governance, data architecture, and 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.
  • Experience in developing batch and real time streaming data pipelines using Google Cloud Platform BigQuery, Dataflow, and Publish/Subscribe from data sources (e.g., Oracle, SAP).

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