Director, AI Architecture & Governance

Why Sarepta? Why Now? The promise of genetic medicine has arrived, and Sarepta is at the forefront. We hold a leadership position in Duchenne muscular dystrophy (Duchenne) and are building a robust portfolio of programs across muscle, central nervous system, and cardiac diseases. In 2023, we launched our fourth therapy and the first ever gene therapy to treat Duchenne.  We’re looking for people who see unlimited potential in themselves and who are motivated by an unwavering commitment to patients. What Sarepta Offers At Sarepta, we care deeply about all the people in our community and believe in the importance of supporting them in all aspects of their lives. We aspire to maintain a culture that acknowledges people bring their whole selves to work, and we will strive to help everyone in our community integrate their work and personal lives while maintaining productivity. We are committed to offering a range of benefits and work-life resources designed to support people in the following areas: Physical and Emotional Wellness ​Financial Wellness Support for Caregivers   For a full list of our comprehensive benefits, see our website: https://www.sarepta.com/join-us   The Importance of 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. This role establishes the 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. The Director partners closely with Enterprise Systems, Computer System Validation (CSV), and Enterprise Data Systems (EDS) to ensure AI solutions align with application architecture, validation expectations, and enterprise data governance. Success requires strong cross-functional collaboration and communication across scientists, engineers, data teams, and executive stakeholders. The Opportunity to Make a Difference Enterprise AI Strategy and Architecture: Define and maintain the enterprise AI reference architecture (data, model, orchestration, and integration patterns) to support scalable delivery across R&D, clinical, and operations. Platform Strategy and Tooling: Lead build vs. buy vs. partner decisions and define approved tooling and platform patterns for AI/ML and agentic capabilities. Governance, Validation, and Compliance: Establish governance and validation standards for AI/ML solutions, including traceability, auditability, and human oversight, in alignment with CSV and applicable regulatory expectations. Data Governance and Security: 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. Portfolio Execution Oversight (Not Prioritization): Maintain oversight of the AI use case portfolio to…