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

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