Program Manager II: Global Logistics Planning & Analytics

Google LLC; Atlanta (GA); On-site; USD 132,000 - 189,000; Full time

Benefits offered by this job

Equity

Bonus (15% target)

Benefits

Job summary

Google LLC in Atlanta, GA seeks a Program Manager II to lead logistics planning for the technical infrastructure. You will own modeling, analytics, and cross-functional coordination across global fulfillment nodes and data centers.

You will evaluate throughput, capacity, and labor requirements using SQL and analytical models, and translate business logic into automated planning workflows for engineering teams.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in program or project management.
• Experience in supply chain logistics and capacity planning, network modeling, or constraint planning.
• Experience with SQL and quantitative modeling.
• Proficiency in SQL and familiarity with scripting languages (Python, R) for data tasks.
• 2 years of experience managing cross-functional projects.
• Ability to conduct root-cause analysis on operational data.

Responsibilities

• Lead complex multi-disciplinary projects from start to finish with cross-functional partners.
• Own day-to-day modeling and analytics for logistics network readiness across the footprint.
• Use SQL, data pipelines, and models to evaluate run-rates and constraints.
• Serve as a key SME to engineering and tools teams to automate planning workflows.
• Coordinate with stakeholders to plan requirements, schedules, risks and deadlines.

Skills

Program management

Supply chain logistics

Capacity planning

Network modeling

Constraint planning

SQL

Quantitative modeling

Cross-functional coordination

Root-cause analysis

Education

Bachelor's degree or equivalent

Tools

Python

R

Job description

Google LLC in Atlanta, GA seeks a Program Manager II to lead logistics planning for the technical infrastructure. You will own modeling, analytics, and cross-functional coordination across global fulfillment nodes and data centers.

You will evaluate throughput, capacity, and labor requirements using SQL and analytical models, and translate business logic into automated planning workflows for engineering teams.