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Sr. Manager Of AI Cloud Engineering. Columbus LilyLifestyle

Job in Columbus, Franklin County, Ohio, 43224, USA
Listing for: United Cerebral Palsy of Georgia
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Data Science Manager, AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Manager Of AI Cloud Engineering. Job in Columbus Lily Lifestyle Jobs

Your Role

The Advanced Analytics team is responsible for managing AI  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, Power Shell) 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.

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