Sr​/Principal Business Impact Lead – R&D Pharma; AI Solution Architect

Mission

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.

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.

• 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

• 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

• 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 portfolio 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

• 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…