Associate Director, Product Management
7 days ago
Madrid
ph3Responsibilities /h3 ul liManage products for AI‑driven tools supporting regulatory and other RD workflows, including regulatory strategy and innovation, productivity, document workflows, decision support, and automation. /li liDevelop and maintain product roadmaps aligned with business objectives and evolving AI capabilities. /li liCollaborate 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. /li liSupport prioritization across competing initiatives, balancing impact and feasibility. /li liIdentify opportunities where generative AI can streamline document creation, review, and knowledge access. /li liPartner closely with regulatory teams to develop solutions fit‑for‑purpose and integrated into key workflows. /li liEngage partners across RD to understand and incorporate opportunities for synergy. /li liCollaborate with data scientists, ML engineers, platform teams, UX, and business partners in a matrixed environment. /li liSupport alignment among technical and business teams. /li liProvide product updates and insights to leadership across Data Science and Digital Health. /li liSupport end‑to‑end product lifecycle from concept to launch and iteration. /li liDefine user stories, acceptance criteria, and success metrics. /li liManage backlogs and coordinate sprints with technical and design teams. /li liEnsure products meet quality, usability, security, and compliance expectations. /li liPartner with engineering teams on model integration, data prep, and evaluation cycles. /li liApply knowledge of generative AI, RAG, agentic systems, and prompt engineering to shape product capabilities. /li liCollaborate with data and platform teams to leverage AI‑ready datasets and vector retrieval pipelines. /li liSupport change management and adoption of AI‑enabled tools through onboarding and feedback loops. /li /ul h3Requirements /h3 ul liAdvanced degree (MS/PhD) or equivalent experience in Life Sciences, Data Science, Computer Science, AI, or related field /li li6–8+ years of product management or digital product development experience /li li2–3+ years collaborating with data science/ML or analytics-driven teams /li liExperience contributing to AI/ML or generative AI product development /li liFamiliarity with generative AI concepts (RAG, knowledge graphs, agent systems, evaluation frameworks) /li liAbility to translate workflows and data dependencies into product requirements /li liExperience with agile methodologies, UX principles, and product analytics /li liExperience in regulatory, RD operations, or scientific workflow environments (preferred) /li liExperience with developing generative AI tools in life science (preferred) /li liExposure to data platforms, cloud architectures, and integrating AI services (preferred) /li liComfort working with complex datasets and metadata schemas (preferred) /li liUnderstands AI/ML fundamentals and collaborates effectively with technical teams (preferred) /li liBridges business needs with technical capabilities (preferred) /li liBreaks down workflows into modular product features (preferred) /li liBalances delivery with long‑term product vision (preferred) /li liIdentifies opportunities to improve workflows using AI (preferred) /li liSynthesizes user input, technical constraints, and enterprise priorities (preferred) /li liStrong communicator across technical and non‑technical audiences (preferred) /li liInfluences within matrixed environments (preferred) /li liPresents product progress and insights effectively (preferred) /li liUses data to inform decisions and measure product success (preferred) /li liStrong critical thinking and ability to derive insights from complex info (preferred) /li liExperience with experimentation or evaluation frameworks preferred /li /ul /p #J-18808-Ljbffr