Technical Program Manager III, Advanced Analytics, Data Center

Benefits

• 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 per year (increased to 69 hours per 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

Seattle, WA, USA;
Sunnyvale, CA, USA;
Kirkland, WA, 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 Technical Program Manager at Google leads complex, multi‑disciplinary projects from start to finish. Working with stakeholders, you plan requirements, identify risks, manage project schedules, and communicate clearly with cross‑functional partners across the company. You are equally comfortable explaining your team's analyses and recommendations to executives as you are discussing technical tradeoffs in product development with engineers.

You will lead multi‑disciplinary projects for Google’s Data Center teams, plan requirements with internal customers, and support projects through the entire life cycle. Your responsibilities include architecting, executing, and delivering 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 to project stakeholders.

The US base salary range for this full‑time position is $163,000–$237,000 + bonus + equity + benefits. Pay is determined by role, level, location, and individual experience or education. Compensation details provided during hiring reflect base salary only; bonuses, equity, and benefits are separate.

• 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. Translate 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.

Google is an equal opportunity workplace and affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law.

If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.