
Senior Director, AI Strategy & Engineering
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Job overview
Travere Therapeutics seeks a strategic leader to develop and execute its enterprise AI strategy and lead its AI engineering function. The role will identify high-impact opportunities across business functions, establish an AI roadmap, and guide adoption of generative AI, machine learning, and intelligent automation. As a member of the Digital Innovation & Enterprise Technology Leadership Team, the leader will shape AI architecture and delivery while ensuring solutions are scalable, secure, governed, and integrated.
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Full job description
Department: 101180 Digital & Enterprise Technology Location: San Diego, USA- Remote Be a part of a global team that is inspired to make a difference in the lives of people living with rare disease. At Travere Therapeutics, we recognize that our exceptional employees are vital to our success. We are a dedicated team focused on meeting the unique needs of rare patients.Our work is rewarding - both professionally and personally - because we are making a difference. We are passionate about what we do. We are seeking talented individuals who will thrive in our collaborative, diverse, fast-paced environment and share in our mission - to identify, develop and deliver life-changing therapies to people living with rare disease. We stick by our values centered on patients, courage, community, and collaboration to pursue our vision of becoming a leading biopharmaceutical company dedicated to the delivery of innovation and hope to patients in the global rare disease community. At Travere Therapeutics, we are in rare for life. We continue to courageously forge new paths as we move toward a common goal of elevating science and service for rare patients*.* Position Summary: Travere is seeking an entrepreneurial and strategic leader to help drive our AI agenda and strategy. As the Sr. Director, AI Strategy & Engineering, you will lead the development and execution of the enterprise AI strategy, enabling the organization to responsibly and effectively leverage AI across all business functions. This leader will identify high-value, high-impact AI opportunities, define an enterprise AI roadmap that is aligned with the broader Digital and Enterprise Technology vision, and drive adoption of generative AI, machine learning, and intelligent automation capabilities that accelerate innovation, improve productivity, and create measurable business value.As a member of the Digital Innovation & Enterprise Technology Leadership Team, this role will serve as the organization's strategic AI subject matter expert while also developing and leading the AI engineering function for Travere. The position requires a unique blend of strategic vision, technical, engineering acumen, and organizational leadership. Responsibilities: Enterprise AI Strategy - Develop and own the enterprise AI strategy, vision, and multi-year roadmap aligned with corporate objectives and broader Digital Innovation and Enterprise Technology transformation priorities. - Identify, prioritize, and validate AI use cases across all business functions, including Commercial, Medical Affairs, R&D, Finance, and People Success. - Establish a repeatable framework for evaluating AI opportunities based on business impact, technical feasibility, risk, and organizational readiness. - Continuously assess the rapidly evolving AI landscape and recommend emerging capabilities that provide strategic advantage. AI Engineering & Delivery - Lead the Digital Innovation team's AI engineering capabilities and execution of enterprise AI initiatives. - Partner closely with Enterprise Technology + Solutions to define the target AI architecture, platforms, integration patterns, security standards, and operational model. - Oversee development and deployment of generative AI applications, intelligent assistants, AI agents, knowledge retrieval solutions, and workflow automation capabilities. - Ensure AI solutions are scalable, secure, governed, and integrated into the enterprise technology ecosystem. Generative AI Leadership Define the organization's generative AI strategy, including platform selection, model usage, enterprise tools/copilots, retrieval-augmented generation, agentic AI, and emerging foundation
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