Global Clinical Operations AI Product Director

Overview As Global Clinical Operations AI Product Director, you translate complex clinical operations challenges into scalable AI solutions that boost productivity, quality, and cycle times. You guide AI-enabled products from concept through adoption within a cross-functional team, ensuring regulatory compliance and user-focused design. You shape the portfolio by defining use cases, value hypotheses, and requirements, and you drive adoption through iterative pilots and change enablement. This role sits at the intersection of clinical operations, technology, and business strategy, delivering measurable value in a regulated environment.

Leistungen / Benefits flexible and hybrid working options minimum 14 weeks paid parental leave insurance plans retirement plans wellbeing resources global recognition programs Verantwortungsbereiche Identify clinical operations challenges and translate them into high-value AI opportunities and product concepts Define use cases, scope, value hypotheses, and requirements for prioritized products within the Global Clinical Operations AI portfolio Evaluate emerging AI technologies, vendor solutions, and enterprise capabilities to inform product direction Bridge business stakeholders and technical teams, translating operational needs into clear actionable functional requirements Lead AI products through design, MVP, pilot, refinement, scaling, and sustained adoption Ensure solutions are user-focused, compliant, and aligned with privacy, AI guardrails, and GxP requirements Drive adoption by

validating solutions with users, gathering feedback, monitoring outcomes, and supporting organizational change Partner across Global Clinical Operations, Development AI, Digital, Data and Information Technology (DDIT), Quality, and Compliance Zentrale Anforderungen Bachelor’s degree in computer science, engineering, life sciences, or a related field, or equivalent relevant business experience At least seven years’ relevant experience at a Senior management level Experience in product management, digital delivery, AI solution delivery, or a closely related discipline Strong understanding of clinical operations, drug development, life sciences, or another highly regulated operating environment Proven ability to translate business needs into clear AI requirements, use cases, product scope, and value propositions Experience delivering products through the Software Development Life Cycle

(SDLC) using Agile or Scrum methodologies Understanding of AI and Machine Learning (ML), model lifecycle concepts, and AI-enabled workflow design Demonstrated success leading cross-functional initiatives, navigating complex matrix environments, and delivering measurable operational value Change management Curious mindset Learning agility Artificial Intelligence Machine Learning Deep Learning