Sr. Technical Program Manager, AI Security

Scorpion Therapeutics; Cambridge (MA); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Moderna is seeking a Senior Technical Program Manager to lead global AI-readiness initiatives. You will oversee complex AI and infrastructure projects, coordinate with Cybersecurity, AI Engineering, Data, and Enablement to drive system lifecycle governance and operational models.

The role requires 8+ years in AI/ML program management, with experience in software engineering, data science, or MLOps, and familiarity with Kubernetes, Airflow, and MLFlow in regulated environments.

Qualifications

• 8+ years in technical/program management in AI/ML environments.
• Experience in regulated environments and GxP is a plus.
• Strong collaboration across cybersecurity, AI engineering, data, and enablement.

Responsibilities

• Lead global AI-readiness initiatives, overseeing governance frameworks and lifecycle management.
• Manage complex AI/infrastructure projects, drive process optimization and vendor/stakeholder governance.
• Ensure security, governance and compliance (including GxP) across programs.

Skills

AI/ML program management

Software engineering experience

Data science background

MLOps platforms

Tools

Kubernetes

Airflow

MLFlow

Job description

Role:

Senior Technical Program Manager leading global AI-readiness initiatives at Moderna.

Responsibilities:

• manage complex, high-visibility AI and infrastructure projects, develop and optimize processes, oversee vendor and stakeholder relationships, and ensure security, governance, and compliance (including GxP).
• Collaborate with cross-functional teams such as Cybersecurity, AI Engineering, Data, and Enablement to drive AI system lifecycle management, governance frameworks, and operational models.

Requirements:

• 8+ years in technical/program management in AI/ML environments, with strong experience in software engineering, data science, or MLOps platforms.
• High-value: expertise in LLMs, prompt engineering, responsible AI, model governance, cloud infrastructure, and GxP environments; familiarity with tools like Kubernetes, Airflow, MLFlow; experience in regulated, scalable AI systems in a biopharma context.

Work setup:

hybrid (70% in-office), global scope, no specific travel mentioned.