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

ph3Responsibilities /h3 ul liAct as the RD domain expert and solution architect for Aily App modules /li liInternally: Translate RD routines into product requirements and AI decision logic, refine model performance, and shape the product roadmap and future high-impact RD use cases /li liExternally: Drive client value realization by leading deployments, guiding RD data readiness, validating AI through portfolio and clinical leadership feedback, upskilling RD managers and executives, and accelerating time to value /li liDefine AI outcomes and RD decision quality standards /li liCo-shape scalable product capabilities across research, portfolio, and clinical use cases /li liPartner with Product, ML, and Engineering on feasibility and RD operational readiness /li liDefine and own data requirements, data collection, and AI fine-tuning needs to accelerate deployment and time to value /li liInfluence the product roadmap through client impact and adoption insights /li liAct as the trusted RD domain expert for clients and internal Product and AI teams /li liBe the trusted advisor to Chief RD Officers, Heads of RD, portfolio leaders, clinical operations heads, and innovation executives /li liRepresent RD user needs in product and roadmap discussions /li liCommunicate AI and data topics, assumptions, and trade-offs in clear business language /li liDrive rollouts from entry-point use cases to enterprise-wide adoption /li liOwn time to first active user and time to routine across RD deployments /li liUpskill and evangelize RD users through workshops, executive sessions, and engagement campaigns /li liEnsure AI becomes embedded into daily RD governance, portfolio, and clinical decision-making cadences /li /ul h3Requirements /h3 ul liMust have Bachelor, Master, PhD, or MBA degree in Life Sciences, Engineering, Business, or a related field /li liStrong understanding of RD decision-making in large enterprises, including portfolio governance and clinical development processes /li li5+/7+ years of experience in RD strategy, pharmaceutical consulting, clinical operations, portfolio management, or innovation leadership roles /li liExposure to RD analytics, performance management, or digital transformation initiatives /li liTech-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 /li liProven experience working with Fortune 500 or large enterprise clients /li liExtreme ownership mindset, with accountability for outcomes, adoption, and time to value /li liStrong communication skills with senior RD and executive stakeholders /li liAbility to operate autonomously in complex, multi-stakeholder environments /li liStrongly preferred: Background in tech consulting, solution architecture, or product-facing roles /li liExperience with AI-powered, analytics, or data-intensive RD products /li liExposure to enterprise SaaS environments /li liExperience mentoring, leading, or scaling small teams or domain practices /li liExperience working across global RD organizations or multi-therapeutic portfolios teams /li /ul h3Core Competencies /h3 pDemonstrates expertise in RD 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./p /p #J-*****-Ljbffr

of experience in RD strategy, pharmaceutical consulting, clinical operations, portfolio management, or innovation leadership roles /li liExposure to RD analytics, performance management, or digital transformation initiatives /li liTech-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 /li liProven experience working with Fortune 500 or large enterprise clients /li liExtreme ownership mindset, with accountability for outcomes, adoption, and time to value /li liStrong communication skills with senior RD and executive stakeholders /li liAbility to operate autonomously in complex, multi-stakeholder environments /li liStrongly preferred: Background in tech consulting, solution architecture, or product-facing roles /li liExperience with AI-powered, analytics, or data-intensive RD products /li liExposure to enterprise SaaS environments /li liExperience mentoring, leading, or scaling small teams or domain practices /li liExperience working across global RD organizations or multi-therapeutic portfolios teams /li /ul h3Core Competencies /h3 pDemonstrates expertise in RD 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. /p /p #J-*****-Ljbffr

ph3Responsibilities /h3 ul liAct as the RD domain expert and solution architect for Aily App modules /li liInternally: Translate RD routines into product requirements and AI decision logic, refine model performance, and shape the product roadmap and future high-impact RD use cases /li liExternally: Drive client value realization by leading deployments, guiding RD data readiness, validating AI through portfolio and clinical leadership feedback, upskilling RD managers and executives, and accelerating time to value /li liDefine AI outcomes and RD decision quality standards /li liCo-shape scalable product capabilities across research, portfolio, and clinical use cases /li liPartner with Product, ML, and Engineering on feasibility and RD operational readiness /li liDefine and own data requirements, data collection, and AI fine-tuning needs to accelerate deployment and time to value /li liInfluence the product roadmap through client impact and adoption insights /li liAct as the trusted RD domain