Responsibilities * Manage products for AI‑driven tools supporting regulatory and other R&D; workflows, including regulatory strategy and innovation, productivity, document workflows, decision support, and automation. * Develop and maintain product roadmaps aligned with business objectives and evolving AI capabilities. * Collaborate with business and technology teams to define product strategy, vision, and execution with a cross‑functional product team, translating human‑centered workflows into clear requirements, wireframes, and user stories. * Support prioritization across competing initiatives, balancing impact and feasibility. * Identify opportunities where generative AI can streamline document creation, review, and knowledge access. * Partner closely with regulatory teams to develop solutions fit‑for‑purpose and integrated into key workflows. * Engage partners across R&D; to understand and incorporate opportunities for synergy. * Collaborate with data scientists, ML engineers, platform teams, UX, and business partners in a matrixed environment.



* Support alignment among technical and business teams. * Provide product updates and insights to leadership across Data Science and Digital Health. * Support end‑to‑end product lifecycle from concept to launch and iteration. * Define user stories, acceptance criteria, and success metrics. * Manage backlogs and coordinate sprints with technical and design teams. * Ensure products meet quality, usability, security, and compliance expectations. * Partner with engineering teams on model integration, data prep, and evaluation cycles. * Apply knowledge of generative AI, RAG, agentic systems, and prompt engineering to shape product capabilities. * Collaborate with data and platform teams to leverage AI‑ready datasets and vector retrieval pipelines. * Support change management and adoption of AI‑enabled tools through onboarding and feedback loops. Requirements * Advanced degree (MS/PhD) or equivalent experience in Life Sciences, D

📌 Associate Director, Product Management (Madrid)
🏢 Jobtailor
📍 Madrid