Overview
Si le interesa solicitar este empleo, por favor, asegúrese de cumplir los siguientes requisitos que se enumeran a continuación.
As a Manager / Senior Data & AI Architect in Barcelona, you will bridge strategy, business, and technology for Life Sciences. You’ll lead end-to-end data and AI architecture design, guide delivery, and shape reusable capabilities. You’ll engage in pre-sales, articulate complex decisions to executives, and mentor teams to scale solutions. This role combines hands-on technical depth with client-facing and commercial responsibilities to grow our Life Sciences practice. You’ll join a global Data & AI team while collaborating locally across Iberia and with broader BIP geographies.
Compensaciones / Ventajas
hybrid working model
private health insurance
wellness platforms
meal vouchers
parental leave benefits
training and certifications
Responsabilidades
Design end-to-end Data, Analytics and AI architectures (data lake/lakehouse, integration, governance, ML/GenAI, AI agents).
Translate Life Sciences business needs into scalable, secure technology solutions.
Act as trusted technical advisor to CIOs/CDOs and architecture teams; lead pre-sales activities and client workshops.
Collaborate with commercial leaders to identify and mature opportunities; contribute to proposals and roadmaps.
Provide technical leadership to multidisciplinary teams (data engineers, data scientists, ML engineers, AI specialists).




Define architecture standards across security, observability, MLOps/LLMOps, governance and data quality.
Ensure production operability, performance, security, cost control and long-term scalability.
Mentor junior colleagues and promote best practices through design reviews and knowledge sharing.
Requisitos principales
7+ years of experience in data/analytics/cloud/AI with architecture or technical lead responsibilities.
Proven Life Sciences domain knowledge and understanding of regulatory context.
Experience designing modern data solutions (lake/lakehouse, warehouse, streaming, APIs, governance).
Deep knowledge of at least one major hyperscaler (Azure, AWS or Google Cloud) and multi-cloud capability.
Experience with Databricks, Microsoft Fabric, Snowflake, BigQuery or equivalent.
Strong SQL and Python; working knowledge of Spark and distributed systems.
Knowledge of AI/ML and GenAI architectures (LLMs, RAG, agents, vector search, guardrails, observability).
Strong client-facing experience and ability to present to technical and executive audiences; pre-sales experience.
Professional English (C1) and Spanish; Italian or Portuguese a plus. xqbhyrx
Willingness for hybrid work in Barcelona and occasional travel.
Consulting mindset and client orientation
Communication and influencing skills
Commercial and pre-sales mindset
Data lake/lakehouse architectures
Data governance, data quality, MDM
MLOps / LLMOps, CI/CD, DevOps

📌 Data & AI Architect – Life Sciences (Barcelona)
🏢 Business Integration Partners
📍 Barcelona