Senior/Principal Business Impact Lead – R&D, AI Solution Architect

Role Overview

• 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 global R&D organizations or multi-therapeutic portfolios teams

Benefits

• Competitive compensation with performance-based rewards
• Open feedback culture, continuous learning, and freedom to experiment
• Regular team off-sites, global events, and a culture that values ambition, autonomy, and impact