Responsibilities - Act as the R&D; domain expert and solution architect for Aily App modules - Internally: Translate R&D; routines into product requirements and AI decision logic, refine model performance, and shape the product roadmap and future high-impact R&D; use cases - Externally: Drive client value realization by leading deployments, guiding R&D; data readiness, validating AI through portfolio and clinical leadership feedback, upskilling R&D; managers and executives, and accelerating time to value - Define AI outcomes and R&D; decision quality standards - Co-shape scalable product capabilities across research, portfolio, and clinical use cases - Partner with Product, ML, and Engineering on feasibility and R&D; operational readiness - Define and own data requirements, data collection, and AI fine-tuning needs to accelerate deployment and time to value - Influence the product roadmap through client impact and adoption insights - Act as the trusted R&D; domain expert for clients and internal Product and AI teams - Be the trusted advisor to Chief R&D; Officers, Heads of R&D;, portfolio leaders, clinical operations heads, and innovation executives - Represent R&D; user needs in product and roadmap discussions - Communicate AI and data topics, assumptions, and trade-offs in clear business language - Drive rollouts from entry-point use cases to enterprise-wide adoption - Own time to first active user and time to routine across R&D; deployments - Upskill and evangelize R&D; users through workshops, executive sessions, and engagement campaigns - Ensure AI becomes embedded into daily R&D; governance, portfolio, and clinical decision-making cadences Requirements - Must have Bachelor, Master,



PhD, or MBA degree in Life Sciences, Engineering, Business, or a related field - Strong understanding of R&D; decision-making in large enterprises, including portfolio governance and clinical development processes - 5+/7+ years of experience in R&D; strategy, pharmaceutical consulting, clinical operations, portfolio management, or innovation leadership roles - Exposure to R&D; analytics, performance management, or digital transformation initiatives - Tech-savvy profile with fluency in data and AI concepts, including data requirements and model behavior, gained through close collaboration with product and data science teams - Proven experience working with Fortune 500 or large enterprise clients - Extreme ownership mindset, with accountability for outcomes, adoption, and time to value - Strong communication skills with senior R&D; and executive stakeholders - Ability to operate autonomously in complex, multi-stakeholder environments - Strongly preferred: Background in tech consulting, solution architecture, or product-facing roles - Experience with AI-powered, analytics, or data-intensive R&D; products - Exposure to enterprise SaaS environments - Experience mentoring, leading, or scaling small teams or domain practices - Experience working across integral R&D; organizations or multi-therapeutic portfolios teams Core Competencies Demonstrates expertise in R&D; strategy and decision-making, with a strong focus on AI integration and data management to drive product development and client value in large enterprises. Proven ability to communicate effectively with senior stakeholders and lead cross-functional teams in complex environments.

📌 Senior/Principal Business Impact Lead – R&D, AI Solution Architect (Barcelona)
🏢 Jobtailor
📍 Barcelona