Tech Program Manager, Data Analytics & Systems Tooling

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

Job summary

Google is seeking a Technical Program Manager for the nGP Data Analytics and Systems Tooling portfolio. You will lead multi-disciplinary programs, plan requirements with stakeholders, and communicate tradeoffs with engineers and executives.

You’ll work with the nGP framework and collaborate across software, data, and infrastructure teams to deliver scalable, data-driven solutions. The role emphasizes forecasting, analytics, and operational efficiency.

Qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 5 years of experience in program management.
• Experience managing cross-functional projects.
• Experience with SQL, scripting languages (Python), and data visualization platforms (Looker/Tableau).
• Experience with software engineering and systems teams to deliver technical solutions.

Responsibilities

• Define and extract business value from operational data and develop alerts for system health.
• Develop time-series forecasting models to mitigate bottlenecks.
• Draft PRDs and user stories for end-to-end workflows with stakeholders.
• Collaborate with Software Engineers and SDEs on architecture, data pipelines, and data models; review SQL and ETL logic.
• Lead multiple data-solution programs from concept through testing, launch, and adoption.

Skills

Cross-functional project mgmt

Time-series forecasting

Statistical modeling

Predictive analytics

Change management

Process optimization

Education

Bachelor's degree in a technical field

Tools

SQL

Python

Looker

Tableau

Job description

Google is seeking a Technical Program Manager for the nGP Data Analytics and Systems Tooling portfolio. You will lead multi-disciplinary programs, plan requirements with stakeholders, and communicate tradeoffs with engineers and executives.

You’ll work with the nGP framework and collaborate across software, data, and infrastructure teams to deliver scalable, data-driven solutions. The role emphasizes forecasting, analytics, and operational efficiency.