Responsibilities
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- 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

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- 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 xqbhyrx 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