Sr. Manager Of AI Cloud Engineering
Blue Shield of CA
Redding, CA (In Person)
Full-Time
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Job Description
Sr. Manager Of AI Cloud Engineering Blue Shield of CA United States, California, Redding Apr 09, 2026 Your Role The Advanced Analytics team is responsible for managing AI at Stellarus. The Senior Manager of AI Cloud Engineering will report to the Director of Advanced Analytics. In this role you will lead strategic initiatives to enhance enterprise analytics capabilities through automation, AI-driven solutions, and advanced data platforms. This role ensures scalable, secure, and innovative solutions that support organizational goals. Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning. Your Knowledge and Experience Requires a college degree or equivalent experience and minimum 10-year prior relevant experience, including 4 years of management experience.
Requires practical knowledge in leading and managing the execution of processes, projects, and tactics within an area.
Requires advanced knowledge and skills including technical or functional expertise, business acumen, financial analysis skills, risk management, delegation skills, critical thinking, and decision-making skills.
Advanced knowledge of cloud architecture, automation frameworks, and integration of cognitive APIs
Strong programming/scripting experience (e.g., Python, PowerShell) and familiarity with infrastructure-as-code and CI/CD concepts (Terraform)
Significant experience managing and optimizing Databricks environments for data engineering, analytics, and machine learning workloads
Knowledge and experience with network principles, architecture, and security concepts Hybrid This role requires employees to be in-office based on our hybrid workplace model, balancing purposeful in-person collaboration with flexibility. For most teams, this means coming into the office two days each week. Employees living more than 50 miles from an office location will work with their manager to determine in-office time based on business need. #LI-CP5
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