Senior/Principal Business Impact Lead – R&D, AI Solution Architect

Jobtailor; Barcelona; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Jobtailor is seeking a senior R&D domain expert to lead the AI-enabled Aily App modules in Barcelona. You will translate R&D routines into product requirements, refine AI decision logic, and shape the roadmap to deliver high-impact use cases for global clients.

You will guide deployments, validate AI performance with clients, and upskill executives, accelerating time to value while aligning with enterprise governance and portfolio strategies.

Formación

• Bachelor, Master, PhD or MBA in Life Sciences, Engineering, Business, or related field.
• 5+/7+ years in R&D strategy, pharmaceutical consulting, clinical operations, portfolio management, or innovation leadership roles.
• Tech-savvy with data and AI concepts, collaborating with product and data science teams.

Responsabilidades

• Act as the R&D domain expert and solution architect for Aily App modules.
• 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.
• 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.

Conocimientos

R&D strategy

AI/ML concepts

Executive stakeholder management

Solution architecture

Educación

Bachelor/Master/PhD/MBA in Life Sciences/Engineering/Business

Descripción del empleo

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.