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, Data Science, Computer Science, AI, or related field- 6–8+ years of product management or digital product development experience- 2–3+ years collaborating with data science/ML or analytics-driven teams- Experience contributing to AI/ML or generative AI product development- Familiarity with generative AI concepts (RAG, knowledge graphs, agent systems, evaluation frameworks)- Ability to translate workflows and data dependencies into product requirements- Experience with agile methodologies, UX principles, and product analytics- Experience in regulatory, R&D operations, or scientific workflow environments (preferred)- Experience with developing generative AI tools in life science (preferred)- Exposure to data platforms, cloud architectures, and integrating AI services (preferred)- Comfort working with complex datasets and metadata schemas (preferred)- Understands AI/ML fundamentals and collaborates effectively with technical teams (preferred)- Bridges business needs with technical capabilities (preferred)- Breaks down workflows into modular product features (preferred)- Balances delivery with long‑term product vision (preferred)- Identifies opportunities to improve workflows using AI (preferred)- Synthesizes user input, technical constraints, and enterprise priorities (preferred)- Strong communicator across technical and non‑technical audiences (preferred)- Influences within matrixed environments (preferred)- Presents product progress and insights effectively (preferred)- Uses data to inform decisions and measure product success (preferred)- Strong critical thinking and ability to derive insights from complex info (preferred)- Experience with experimentation or evaluation frameworks preferred#J-18808-Ljbffr

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