AI/ML Platform Operations Analyst

American Red Cross

AI/ML Platform Operations Analyst managing Dataiku and Databricks for data science projects at the American Red Cross. Collaborating with developers and maintaining operational health of data pipelines.

Posted 7/31/2026full-timeRemote • North Carolina, Pennsylvania, South Carolina, Tennessee, Virginia • 🇺🇸 United StatesSeniorLead💰 $110,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in MLOps and DataOps, with significant experience in Dataiku and Databricks platforms. Proficient in Python and AWS data stack management, alongside strong communication skills for effective collaboration across technical teams.

Highest-signal resume keywords

MLOps ExperienceDataOps ExperienceDataiku ProficiencyDatabricks ProficiencyAWS Data Stack Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonDataOpsMLOpsData EngineeringOperational RunbooksPipeline ManagementEnvironment ManagementPolicy AdministrationAutomation RequirementsTesting

Soft Skills

Excellent CommunicationDiplomacy

Tools & Technologies

DataikuDatabricksAWS S3AWS IAMAWS Redshift

Industry Keywords

Project Intake FunnelCluster Policy AdministrationStakeholder CollaborationProduction Experience

Tech Stack

Tools & technologies

Amazon RedshiftAWSPython

About the role

Key responsibilities & impact

Partner with data scientists and developers to move completed projects from development to production across the Dataiku and Databricks platforms
Triage and resolve pipeline failures across both platforms
Maintain visibility into the project intake funnel: what is coming, what is blocked, what is promotable
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

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field—or equivalent professional experience
7 years in MLOps, DataOps, data engineering, or related platform operations roles
Significant production experience with both Dataiku and Databricks
Hands-on experience with the AWS data stack (S3, IAM, Redshift)
Strong proficiency in Python and modern environment management (uv, pip, venv, or equivalent)
Excellent written and verbal communication skills, with demonstrated diplomacy across data science, data engineering, security, and infrastructure stakeholders.

Benefits

Comp & perks

Medical, Dental Vision plans
Health Spending Accounts & Flexible Spending Accounts
PTO: Starting at 19 days a year; based on type of job and tenure
Holidays: 11 paid holidays comprised of six core holidays and five floating holidays
401K with up to 6% match
Paid Family Leave
Employee Assistance
Disability and Insurance: Short + Long Term
Service Awards and recognition