Sr. Technical Program Manager, AI Security

Moderna
$145,900 - $234,200Hybrid

About The Position

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.

Requirements

  • 8+ years in Technical Program Management, Engineering Program Management, or similar roles in AI/ML-heavy environments.
  • 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.

Nice To Haves

  • 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.
  • Experience driving structured, process-driven AI transformation initiatives.
  • 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 partner compassionate to the needs and situations of all your stakeholders.
  • Embrace a culture of continuous service improvement and service excellence.
  • A desire to make an impact as part of a high-growth, transformational company.
  • Experience with GxP environments and regulatory requirements.

Responsibilities

  • 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 workstreams 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.
  • 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.
  • Drive governance frameworks that define permitted AI use, contextual standards, and regulatory alignment — including GxP where applicable.
  • 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.
  • 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.

Benefits

  • Best-in-class healthcare coverage, plus voluntary benefit programs to support your unique needs.
  • A holistic approach to well-being, with access to fitness, mindfulness, and mental health support.
  • Family planning benefits, including fertility, adoption, and surrogacy support.
  • Generous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown.
  • Savings and investment opportunities to help you plan for the future.
  • Location-specific perks and extras.
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