Technical Program Manager III, Advanced Analytics, Google Data Center
Listed on 2026-06-18
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IT/Tech
Data Engineering, Data Analyst, Data Science Manager, Data Warehousing
Technical Program Manager III, Advanced Analytics, Google Data Center
Google Seattle, WA, USA ;
Kirkland, WA, USA ; +1 more
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note:
By applying to this position you will have an opportunity to share your preferred working location from the following:
Seattle, WA, USA;
Kirkland, WA, USA;
Sunnyvale, CA, USA.
- 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 Big Query.
- 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).
- 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 Big Query, Dataflow, and Publish/Subscribe from data sources (e.g., Oracle, SAP).
A problem isn’t truly solved until it’s solved for all. As a Technical Program Manager at Google, you will lead complex, multi-disciplinary projects from start to finish. You will work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You will lead multi-disciplinary projects for Google’s Data Center teams, 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.
- 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), translating 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 uptime of critical data center operations, and increase operating efficiency of teams responsible for designing and building Google’s data center footprint.
US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits
Equal Employment Opportunity StatementGoogle is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be,…
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