Senior/Principal Business Impact Lead – R&D, AI Solution Architect
Hace 6 días
Cataluña, España
Aily Labs
Jornada completa
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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-18808-Ljbffr
* 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-18808-Ljbffr