AI/ML Platform Operations Analyst

American Red Cross · South Carolina, United States · 4 wk ago

Management$110k–$120k/yrFull-time

Job Description

Joining The American Red Cross is like nothing else – it’s as much something you feel as something you do. You become a vital part of the world’s largest humanitarian network. Joining a team of welcoming individuals who are exceptional, yet unassuming. Diverse, yet uncompromising in unity. You grow your career within a movement that matters, where success is measured in people helped, communities made whole, and individuals equipped to never stop changing lives and situations for the better. When you choose to be a force for good, you’ll have mentors who empower your growth along a purposeful career path. You align your life’s work with an ongoing mission that’s bigger than all of us. As you care for others, you’re cared for with competitive compensation and benefits. You join a community that respects who you are away from work as much as what you do while at work.

Key Responsibilities

Partner with data scientists and developers to move completed projects from development to production across the Dataiku and Databricks platforms—packaging code environments (uv, venv, Dataiku code envs), establishing monitoring and alerting, and watching for performance degradation.
Triage and resolve pipeline failures across both platforms; coordinate with upstream data owners (Redshift, Postgres, S3) when source systems, credentials, or schemas change.
Maintain visibility into the project intake funnel: what is coming, what is blocked, what is promotable. Surface upcoming operational needs proactively.
Author and maintain operational runbooks and documentation.
Perform user, group, code environment, and cluster policy administration within the Dataiku and Databricks consoles.
Partner with the Principal Engineer on DataOps automation requirements, design feedback, and testing.

What You Need to Succeed

Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field—or equivalent professional experience.
Experience: 7 years in MLOps, DataOps, data engineering, or related platform operations roles. Significant production experience with both Dataiku and Databricks. Familiarity with one platform alone is not sufficient for this seat. Hands-on experience with the AWS data stack (S3, IAM, Redshift) and strong proficiency in Python and modern environment management (uv, pip, venv, or equivalent).
Demonstrated experience supporting data scientists and analysts through the development-to-production lifecycle. Strong operational judgment—ability to determine when to automate, when to runbook, and when to leave a working manual process alone.
Excellent written and verbal communication skills, with demonstrated diplomacy across data science, data engineering, security, and infrastructure stakeholders.

Pay Information

The annual salary range for this position is $110K - $120K. We do not offer an annual bonus for this role. Note that American Red Cross salaries are aligned to the specific geographic location in which the work is primarily performed. Other factors that may be used to determine your actual salary may include your specific skills, how many years of experience you have and comparison to other employees already in this role. We will review specific salary information at the time of phone screening based upon your location & experience.

Benefits