Sr / Principal Business Impact Lead – R&D Pharma (AI Solution Architect)

Aily Labs•New York, NY
•$180,000 - $220,000•Hybrid

About The Position

As an R&D Business Impact Lead, you act as the domain expert and solution architect for Aily App R&D modules. You embed Aily App into core R&D routines across research, portfolio governance, clinical development, and pipeline strategy, helping large enterprises move from signals to scientific and portfolio action. You own the Aily R&D client journey from initial integration through enterprise-wide adoption. You ensure the product is deployed, trusted, and embedded in daily R&D decision-making to deliver measurable performance impact. Internally, you translate R&D routines into product requirements and AI decision logic, help refine model performance, and shape the roadmap. Externally, you lead deployments, guide R&D data readiness, validate AI with portfolio and clinical leaders, upskill users, and accelerate time to value.

Requirements

  • Bachelor's, Master's, PhD, or MBA degree in Life Sciences, Engineering, Business, or a related field.
  • Strong understanding of enterprise R&D decision-making, 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.
  • 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.

Nice To Haves

  • 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.

Responsibilities

  • Translate research, portfolio governance, and clinical development routines into product requirements and AI decision logic.
  • Define AI outcomes and standards for R&D decision quality.
  • Co-shape scalable product capabilities across research, portfolio, and clinical use cases.
  • Partner with Product, ML, and Engineering teams 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 using client impact and adoption insights.
  • Act as a trusted R&D domain expert for clients and internal Product and AI teams.
  • Advise 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.
  • Explain AI and data topics, assumptions, and trade-offs in clear business language.
  • Drive deployments from initial use cases through enterprise-wide adoption.
  • Own time to first active user and time to routine across R&D deployments.
  • Upskill and engage R&D users through workshops, executive sessions, and engagement campaigns.
  • Embed AI into daily R&D governance, portfolio, and clinical decision-making cadences.

Benefits

  • Competitive compensation with performance-based rewards.
  • Open feedback culture, continuous learning, and freedom to experiment.
  • Memorable team off-sites and global events.
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