Technical Program Manager III, Advanced Analytics, Google Data Center

Google; United States; On-site; USD 163,000 - 236,000; Full time

Benefits offered by this job

Health, dental, vision, life insurance

401(k) with company match

Paid time off

Sick time

Maternity leave

Baby bonding leave

13 paid holidays

Job summary

Google is seeking a Technical Program Manager III for Advanced Analytics within its Data Center group. The role leads data pipelines, ML/AI initiatives, and data warehousing efforts across multiple locations, collaborating with engineering and product teams to plan requirements, manage schedules, and deliver leadership-ready insights.

You will architect data ingestion, analytics visualizations, and data models to support high-availability data platforms and scalable operations at Google’s data

Qualifications

• Bachelor’s degree in Information Systems, CS, 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, BI, visualization, data governance, data architecture, and system integration).

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).
• Lead multiple data-solution programs, including data pipelines, visualizations, data alerts, advanced analytics, and machine learning methods.
• Manage all aspects of program deliverables from inception to implementation and resource oversight.
• Manage datasets to extract business insights and improve data center operations efficiency.

Skills

SQL

Python

BigQuery

Program management

Analytics

ML/AI

Data warehousing

Data modeling

Education

Bachelor's degree

Tools

GCP

Dataflow

Pub/Sub

Job description

Technical Program Manager III, Advanced Analytics, Google Data Center

Google – Seattle, WA, USA; Kirkland, WA, USA; +3 more; +2 more

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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; Atlanta, GA, USA.

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.

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.

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Google 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, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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