
Technical Program Manager III, Advanced Analytics, Google Data Center
Salary
$163k–$236k/ annually
Application completed on Google
About This Role
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).
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 at Google, you will lead multi-disciplinary
projects for Google’s Data Center teams. You will plan requirements with
internal customers and support projects through the entire project life-cycle,
manage project schedules, identify risks, and communicate goals to project
stakeholders. You will work with stakeholders to architect, execute, and deliver
data ingestion, leadership visualizations and insights, data warehouse
infrastructure and data models, and advanced analytics leveraging ML/AI. You
will manage program schedules, highlight risks, and communicate goals.
Google Cloud accelerates every organization’s ability to digitally transform its
business and industry. We deliver enterprise-grade solutions that leverage
Google’s cutting-edge technology, and tools that help developers build more
sustainably. Customers in more than 200 countries and territories turn to Google
Cloud as their trusted partner to enable growth and solve their most critical
business problems.
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
[https://www.google.com/about/careers/applications/benefits/].
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.
Required Skills
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