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,

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