MissionMission: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.
Your profile What You Will Do: 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.
Your Responsibilities R&D Solution Architecture - 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
R&D Authority in the Room - 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
Deployment, Adoption & Time-to-Value - 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
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Your Profile: 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
Strongly recommended: - 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
- 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 procurement and executive stakeholders
- Ability to operate autonomously in complex, multi-stakeholder environments
Why Aily: - Work at the intersection of AI, manufacturing, and supply chain transformation, shaping how Fortune 500 companies operate
- Take real ownership of outcomes, from product design to measurable operational impact
- Partner directly with manufacturing site leaders, supply heads, and executive teams across global organizations
- Be part of a high-performing, international team with strong product and AI DNA
- Hybrid setup with 2-3 days per week in our Madrid, Barcelona or Munich office
- Competitive compensation with performance-based rewards
- Open feedback culture, continuous learning, and freedom to experiment
- Memorable team off-sites, global events, and a culture that values ambition, autonomy, and impact
