Head of Planning Automation for Equipment Supply Chain

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.