Technical Program Manager III, Advanced Analytics, Data Centers

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in program management.
  
• Experience with SQL, Python, or BigQuery.
• Experience in advanced analytics (e.g., AI/ML model based solutions) or data engineering (e.g., data modeling, analytics, insights, infrastructure, pipelines).

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 in developing Batch and real time streaming data pipelines using GCP BigQuery, Dataflow and Publish/Subscribe from data sources (e.g., Oracle, SAP, etc.).
  
• Experience leading organizational change efforts and delivering data focused programs using data tools and solutions to improve organization efficiency.

About the job:

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 lead, architect, design, build, and implement modern data warehouse infrastructure, data structures, data engineering processes, visualizations and data analytics, and drive quality/consistency of data across business functions. You will use technical and data knowledge to establish data pipelines, solutions, and frameworks to facilitate trusted data availability across multiple functional domains and systems at Google Data Centers.

You will also work with the Data Center business stakeholders and manage a portfolio of programs that help GDC teams operate, while transforming the organization by building and integrating the next wave of data solutions.

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are an upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

The US base salary range for this full-time position is $156,000-$229,000 + 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 about benefits at Google.

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.
  
• Extract business insights that help to maintain up-time of critical data center operations, and increase operating efficiency of teams responsible for designing and building Google’s data center footprint.