Sr. Technical Program Manager, AI Security

Senior Technical Program Manager (TPM)

Moderna is seeking a Senior Technical Program Manager (TPM) to drive project and program management of AI-readiness initiatives at Moderna globally. We're looking for someone with a high level of integrity and personal accountability, strong interpersonal skills, and infrastructure technology domain expertise.

Here's What You'll Do

• Program Management – take a structured, data-driven, and risk-based approach to program scoping, execution, and reporting
• Kick off and successfully manage multiple, simultaneous, complex, high visibility work streams with full ownership, effective collaboration, and good process
• Build processes, templates, and structure, or leverage existing ones as appropriate
• Manage vendors, schedule, scope, and cost
• Measure program success (or lack thereof) and risks using data and facts
• Provide balanced risk remediation strategies and recommendations and drive risk mitigation
• Develop and maintain close stakeholder relationships and build influence to drive the appropriate outcomes across Moderna
• Provide clear, accurate, consistent, and timely communications
• Advance good infrastructure and security practices and culture
• Partner Collaboration - work with Cybersecurity, Builder Tools & Platforms, Infrastructure, Identity & Endpoint Engineering, GRC, AI Engineering, Data, Enablement/L&D, software engineering, and business stakeholders to manage and drive improvement projects in a structured and predictable manner
• Manage multiple initiatives to oversee the architecture and lifecycle of enterprise AI systems, including agent identity, tool authorization, and secure development practices; to drive governance frameworks that define permitted AI use, contextual standards, and regulatory alignment — including GxP where applicable; and to ensure end-to-end observability and monitoring of AI agents in production.
• Own the operating model for AI enablement programs, including pilots, cohorts, and phased rollouts, and partner with Enablement/L&D teams to shape role‑based learning paths for AI builders
• Actively contribute to creating a more inclusive culture and environment at Moderna; endorse, create, and maintain antiracist policies and processes

Here's What You'll Need (Minimum Qualifications)

• Experience:
  
  8+ years in Technical Program Management, Engineering Program Management, or similar roles in AI/ML-heavy environments
• Technical Depth:
  Strong understanding of AI/ML systems, including model training pipelines, LLMs, MLOps, data pipelines, and cloud infrastructure
• Strong understanding of AI/ML development workflows, AI‑assisted engineering tools, or modern software development platforms
• Demonstrated technical depth, problem-solving capabilities, and stakeholder and vendor management skills
• Experience in running programs within a cross-functional, global team of mixed engineering, architecture, and operations
• Ability to successfully scope and drive complex and multi-workstream programs in a structured, risk-considerate, data-driven fashion
• Experience improving developer productivity and building internal tools/platforms.
• Ability to define metrics, analyze tradeoffs, and drive decisions with data.
• Strong listener with the ability to deeply understand, ask the right questions, and proactively pursue constructive feedback
• Proven ability to operate in highly matrixed environments and influence without direct authority.
• Excellent written and verbal communication skills, including executive‑level storytelling

Here's What You'll Bring to the Table (Preferred Qualifications)

• Background in software engineering, data science, or machine learning
• Experience with LLM platforms, prompt engineering workflows, or AI copilots
• Experience with AI development platforms, copilots, developer tooling, or MLOps concepts
• Experience with responsible AI, model governance, or compliance frameworks
• Familiarity with tools such as Kubernetes, Airflow, MLFlow, or similar MLOps stacks
• Familiarity with governed enablement models (e.g., citizen development, platform standards, golden paths)
• Knowledge of security and compliance standards relevant to AI and AI-assisted engineering.
• Influential, inclusive, and trusted…