Head of Planning Automation — Global Supply Chain AI

Google LLC; Kirkland (WA); Hybrid; USD 240,000 - 333,000; Full time

Benefits offered by this job

Health, dental, vision, life, and disb

401(k) with company match

Paid Time Off: 20 days per year

Sick Time: 40 hours/year (69 Seattle)

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

13 paid holidays per year

Job summary

Google LLC seeks a Technical Program Manager to lead complex, multi-disciplinary engineering projects within AI and Infrastructure. You will plan requirements with internal customers and drive projects through the full lifecycle, from scheduling and risk identification to communicating trade-offs to executives.

You will own the technical roadmap for transitioning data center equipment planning from manual, spreadsheet workflows to an integrated, AI-first software ecosystem, coordinating

Qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 10 years of program management experience.
• 7 years of leadership roles (with/without direct reports).
• 10 years of experience in technical program management, software engineering, or data architecture in large-scale transitions.
• Experience with supply chain data architecture or enterprise planning engines (Kinaxis, SAP, E2Open).
• Experience with SQL/BigQuery, data schema design, ETL pipelines, and troubleshooting.
• Experience evaluating upstream and downstream software impacts across APIs and distributed databases.

Responsibilities

• Evaluate and govern how planning engine core upgrades and logic modifications impact downstream systems and transactional data pipelines. Architect and standardize foundational data schemas, APIs, and ETL pipelines across disparate environments to ensure latent-free, high-integrity data ingest.
• Review complex engineering and database designs to ensure they scale efficiently under global supply chain constraints without causing system latency or performance degradation.
• Harmonize business planning cycles with engineering sprint schedules and deployment freezes to prevent systemic disruptions.
• Architect programmatic, high-performance measurement systems like the Data Quality Index (DQI) using SQL/BigQuery to evaluate automated data-cleansing health (e.g., Site BOM availability, Sourcing Rule integrity).
• Build and scale automated validation frameworks to capture technical risks (such as data ingestion failures or logic anomalies) before code hits production environments.

Skills

Program management

Leadership

Cross-functional collaboration

Requirements planning

Education

Bachelor's degree in a technical field, or equivalent practical experience

Tools

SQL/BigQuery

Data modeling

ETL pipelines

API integrations

Job description

Google LLC seeks a Technical Program Manager to lead complex, multi-disciplinary engineering projects within AI and Infrastructure. You will plan requirements with internal customers and drive projects through the full lifecycle, from scheduling and risk identification to communicating trade-offs to executives.

You will own the technical roadmap for transitioning data center equipment planning from manual, spreadsheet workflows to an integrated, AI-first software ecosystem, coordinating