Senior Technical Program Manager, Advanced Analytics (Data Center)

Google LLC; Sunnyvale, Kirkland (CA, WA); Hybrid; USD 163,000 - 236,000; Full time

Benefits offered by this job

Health, dental, vision, life, and long

Disability insurance

401(k) with company match

Paid time off

Job summary

Google LLC seeks a Technical Program Manager III for Advanced Analytics supporting Google Data Center teams. You will lead multi-disciplinary data projects from requirements to completion, coordinating with engineers, product managers, and stakeholders.

Responsibilities include designing data pipelines and data warehouse infrastructure on GCP, delivering leadership visuals and insights, and managing schedules, risks, and delivery to drive uptime and efficiency.

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.

Responsibilities

• Design and implement data pipelines, data warehouse infrastructure and analytics on GCP.
• Lead multi-disciplinary data-solution programs and deliver data-driven insights for leadership.
• Manage program deliverables from inception to implementation and resource oversight.
• Ensure data availability and uptime for Google Data Center operations through analytics.

Skills

SQL

Python

BigQuery

Advanced analytics

AI/ML

Data engineering

Education

Bachelor's degree in Information Systems, Computer Science, Data Science, Analytics, Mathematics, or equivalent practical experience

Job description

Google LLC seeks a Technical Program Manager III for Advanced Analytics supporting Google Data Center teams. You will lead multi-disciplinary data projects from requirements to completion, coordinating with engineers, product managers, and stakeholders.

Responsibilities include designing data pipelines and data warehouse infrastructure on GCP, delivering leadership visuals and insights, and managing schedules, risks, and delivery to drive uptime and efficiency.