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

Trabajo disponible en: 08001, Barcelona, Cataluna, España
Empresa: Tmoose
Tiempo completo puesto
Publicado en 2026-09-26
Especializaciones laborales:
  • TI/Tecnología
    Ingeniero de IA, Inteligencia Artificial, Gerente de Ciencias de Datos, Científico de datos
  • Investigación/Desarrollo
    Inteligencia Artificial, Científico de datos
Rango Salarial o Referencia de la Industria: 120000 - 180000 EUR Anual EUR 120000.00 180000.00 YEAR
Descripción del trabajo
Puesto: Senior / Principal Business Impact Lead – R&D (AI Solution Architect)

Senior / Principal Business Impact Lead - R&D (AI Solution Architect) - BCN/MAD/Munich

Full-time

Mission

As an R&D Business Impact Lead, you act as the domain expert and solution architect for Aily App R&D modules. Your mission is to embed Aily App into core R&D routines across research, portfolio governance, clinical development, and pipeline strategy, enabling Fortune 500 companies to move faster from signal to scientific and portfolio action. You own the Aily.r&d client journey from first integration to enterprise-wide adoption, ensuring the product is fully deployed, trusted, and embedded into daily R&D decision-making to deliver measurable performance impact.

What

You Will Do

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 realisation by leading deployments, guiding R&D data readiness, validating AI through portfolio and clinical leadership feedback, up-skilling R&D managers and executives, and accelerating time to value.
Your Responsibilities R&D Solution Architecture
  • Translate research, portfolio governance, and clinical development routines into product requirements and AI decision logic
  • 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
R&D Authority in the Room
  • 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
Deployment, Adoption & Time-to-Value
  • 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
About You 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
  • Expe…
Requisitos del puesto
10+ años Experiencia laboral
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