Senior/Principal Business Impact Lead - R&D, Ai Solution Architect

Responsibilities 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 Core Competencies Demonstrates expertise in R&D strategy and decision-making, with a strong focus on AI integration and data management to drive product development and client value in large enterprises.Proven ability to communicate effectively with senior stakeholders and lead cross-functional teams in complex environments.#J-*****-Ljbffr

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 Core Competencies Demonstrates expertise in R&D strategy and decision-making, with a strong focus on AI integration and data management to drive product development and client value in large enterprises. Proven ability to communicate effectively with senior stakeholders and lead cross-functional teams in complex environments. #J-*****-Ljbffr