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# Cloud Data AI/Foundations Manager

- **Company:** Ascension
- **Location:** Berkeley, MO, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Business Analytics Applications, Confluence, JIRA, Automation of Tests, BigQuery, Cloud Database, Cloud Engineering, Cloud Storage, Continuous Integration, DevOps, Data Flow Control, Operational Databases, Power BI, DataOps, Cloudera, Software Engineering, Google Cloud, System Availability, Infrastructure as Code (IaC), Tools for Reporting, Looker Analytics, Data Pipelines, Servicenow
- **Published:** November 12, 2026
- **Apply:** https://www.dice.com/job-detail/3d762395-26e0-4ac4-b9cc-a2b3c61abcd4

## About the Role

* High School diploma equivalency with 3 years of cumulative experience OR Associate's
 * degree/Bachelor's degree with 2 years of cumulative experience OR 7 years of applicable cumulative job specific experience required.

Additional Preferences:

 * Domain Experience: 8+ years of hands-on experience in Cloud Data Engineering, DevOps, Software Engineering, Platform Engineering, or Data Operations.
 * Leadership: 3+ years of technical leadership experience actively managing engineering or operational teams.
 * Production Operations: Proven track record of managing enterprise-level production systems with stringent high-availability and operational excellence requirements.
 * Google Cloud Platform Ecosystem: Deep technical expertise in core Google Cloud Platform services, specifically BigQuery, Cloud Composer/Airflow, Dataflow, Dataproc, and Cloud Storage.
 * Automation & CI/CD: Strong proficiency with Infrastructure as Code (IaC), CI/CD pipelines, automated testing, and modern observability tooling.
 * Enterprise Tooling: Hands-on experience with enterprise operational and project management tools (ServiceNow, Jira, Confluence) as well as BI/analytics platforms (Power BI, Looker).
 * Engineering Culture: Active interest in AI-assisted engineering practices and a strong commitment to cultivating an inclusive, collaborative, and high-performing team culture.

## Description

* Team Leadership: Manage, mentor, and grow a high-performing, diverse team of data engineers, DevOps specialists, and platform engineers.
 * Operational Excellence: Own the reliability, high availability, and operational health of mission-critical, enterprise-level production data systems.
 * Cloud Architecture & Delivery: Oversee the architectural design and deployment of scalable data solutions across the Google Cloud Platform (Google Cloud Platform) ecosystem.
 * Process Automation: Lead the strategy and execution for CI/CD pipelines, Infrastructure as Code (IaC), and robust observability frameworks.
 * AI Innovation: Champion and integrate AI-assisted engineering practices to optimize development workflows, boost efficiency, and improve system resilience.
 * Cross-Functional Collaboration: Partner closely with product, analytics, and business teams to align technical deliverables with strategic goals, leveraging enterprise operational and analytics tools., How you'll make an impact in this role

 * Team Leadership: Manage, mentor, and grow a high-performing, diverse team of data engineers, DevOps specialists, and platform engineers.
 * Operational Excellence: Own the reliability, high availability, and operational health of mission-critical, enterprise-level production data systems.
 * Cloud Architecture & Delivery: Oversee the architectural design and deployment of scalable data solutions across the Google Cloud Platform (Google Cloud Platform) ecosystem.
 * Process Automation: Lead the strategy and execution for CI/CD pipelines, Infrastructure as Code (IaC), and robust observability frameworks.
 * AI Innovation: Champion and integrate AI-assisted engineering practices to optimize development workflows, boost efficiency, and improve system resilience.
 * Cross-Functional Collaboration: Partner closely with product, analytics, and business teams to align technical deliverables with strategic goals, leveraging enterprise operational and analytics tools.