Director, AI Architecture & Governance

About the Role

The Director, AI Architecture & Governance is a senior technical leadership role responsible for defining and governing enterprise‑scale AI and Generative AI architectures across the life sciences value chain. The role establishes standards, platform/tooling strategy, and governance frameworks required to deliver AI outcomes safely and at scale, while enabling AI/ML engineering resources to execute efficiently.

• Define and maintain the enterprise AI reference architecture (data, model, orchestration, and integration patterns) to support scalable delivery across R&D, clinical, and operations.
• Lead build‑vs‑buy‑vs‑partner decisions and define approved tooling and platform patterns for AI/ML and agentic capabilities.
• Establish governance and validation standards for AI/ML solutions, including traceability, auditability, and human oversight, in alignment with CSV and applicable regulatory expectations.
• Define data access and security models for AI systems and partner with EDS to ensure alignment with data governance standards, data ownership, and data quality controls.
• Maintain oversight of the AI use‑case portfolio to ensure consistent execution against standards and measurable outcomes.
• Drive alignment across teams by defining ownership boundaries and ensuring architectural standards translate into implementable patterns and adoption plans.

• Bachelor’s degree required; advanced degree in a quantitative or technical field preferred.
• 12+ years of related experience (BA/BS) or 10+ years (MA/MS).
• 8+ years of experience in AI/ML, data platforms, or enterprise architecture roles, including ownership of reference architectures and cross‑team standards.
• Experience evaluating platforms/tools and driving adoption in complex enterprise environments.
• Strong understanding of AI/ML system architecture and integration patterns.
• Experience with modern data platforms and cloud architectures.
• Knowledge of governance, security, and access control models for enterprise data and AI systems.
• Ability to define scalable patterns for model lifecycle management, auditability, and operationalization.

• Track record of influencing cross‑functional teams without formal authority.
• Excellent communication skills—able to bridge scientists, engineers, CSV/quality partners, and executives.
• Execution‑oriented leadership—able to translate standards into practical implementation patterns.
• Ability to foster an inclusive, collaborative environment and build trust with diverse stakeholders.

• Biotech/pharma background and familiarity with R&D and clinical workflows.
• Experience working in regulated environments, including collaboration with CSV/quality organizations.
• Experience partnering with data governance organizations on data ownership, quality, and access controls.

Targeted salary range: $206,000 – $257,500 per year. Competitive compensation and benefit package available. Salary offered reflects factors such as education, training, experience, market conditions, and role criticality.

Hybrid work model: expected to work on site at a Sarepta facility in the United States and/or attend company‑sponsored in‑person events from time to time.

Sarepta Therapeutics is an Equal Opportunity/Affirmative Action employer and participates in e‑Verify. Sarepta offers a competitive compensation and benefit package.