R&D Business Impact Lead

Job title: R&D Business Impact Lead

About the Role As an R&D Business Impact Lead, you act as the domain expert and solution architect for Aily App R&D modules. Your mission is to embed Aily App into core R&D routines across research, portfolio governance, clinical development, and pipeline strategy, enabling Fortune 500 companies to move faster from signal to scientific and portfolio action. You own the Aily.r&d client journey from first integration to enterprise-wide adoption, ensuring the product is fully deployed, trusted, and embedded into daily R&D decision-making to deliver measurable performance impact.

What You'll Do

• Act as the R&D domain expert and solution architect for Aily App modules: translate R&D routines into product requirements and AI decision logic, refine model performance, shape 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, up-skilling R&D managers and executives, and accelerating time to value.
• Translate research, portfolio governance, and clinical development routines into product requirements and AI decision logic; 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.

What We're Looking For

• Must have: Bachelor/Master/PhD/MBA in Life Sciences, Engineering, Business, or 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 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.
• Nice to Have: 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 global R&D organizations or multi-therapeutic portfolios teams.

Nice to Have

• Optional/preferred qualifications include the items listed under Nice to Have in the What We're Looking For section.

Compensation & Benefits

• Competitive compensation with performance-based rewards; hybrid work model with 2–3 days per week in our Barcelona, Madrid, Munich, or NYC offices; open feedback culture, continuous learning, and freedom to experiment; regular team off-sites and global events.
• Be part of a high-performing, international team with strong product and AI DNA.
• Hybrid setup across multiple offices to collaborate with global teams.