Head of Enterprise Data & AI Platform Reliability

AmeriLife; United States; À distance; USD 160 000 - 177 000; Plein temps

Résumé du poste

AmeriLife seeks a highly technical Senior Manager for Data & AI Platforms Reliability to guide production operations across Databricks, FDM, and enterprise data services. You will own availability, security, scalability, and governance of critical platforms while steering incident response, releases, monitoring, and continuous service improvements.

The role requires deep technical expertise and strong operational leadership with experience managing enterprise cloud data platforms, collaborating

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
• 10+ years supporting enterprise data platforms.
• 5+ years leading technical operations or production support teams.
• Hands‑on Databricks experience, including Delta Lake, Unity Catalog, Spark, Workflows, SQL Warehouses, and Lakehouse architecture.

Responsabilités

• Own production support for enterprise data platforms and data products.
• Lead incident, problem, change, and release management processes.
• Ensure platform stability, availability, and operational excellence.
• Drive root cause analysis and implement permanent corrective actions.
• Establish operational SLAs, KPIs, and platform health dashboards.
• Lead production readiness reviews for all new platform releases.

Connaissances

Databricks

Delta Lake

Unity Catalog

Spark

Workflows

SQL Warehouses

Lakehouse

Azure

DevOps

CI/CD

Formation

Bachelor's degree in CS/IS/Engineering

Outils

Azure Cloud Services

CI/CD tooling

Infrastructure as Code

Description du poste

AmeriLife seeks a highly technical Senior Manager for Data & AI Platforms Reliability to guide production operations across Databricks, FDM, and enterprise data services. You will own availability, security, scalability, and governance of critical platforms while steering incident response, releases, monitoring, and continuous service improvements.

The role requires deep technical expertise and strong operational leadership with experience managing enterprise cloud data platforms, collaborating