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Data & AI Architect – Life Sciences

BIP Group


Job Location:

Barcelona - Spain

Monthly Salary: Not provided by the employer
Posted: 9 September 2026 (11 hours ago)
Application Deadline: 7 December 2026
Vacancies: 1 Vacancy

Job Summary

Description

About the role

We are looking for aManager / Senior Data & AI Architect to join our Barcelona team and help us grow one of BIP Iberias strategic areas: the application of Data Analytics and Artificial Intelligence within Life Sciences.

This is not a pure architecture role. We are looking for someone who combines strong technical depth with business understanding client-facing skills and a pre-sales/commercial mindset. Someone who can design a robust architecture defend it with a client understand the business problem behind it and guide the team until the solution is successfully delivered and operational.

The role will be part of BIPs Global Data & AI team with a strong focus on working closely with our local teams in Barcelona and across Spain while collaborating with colleagues and specialists across Portugal Italy and other BIP geographies.

Your mission

Act as a Data & AI reference for Life Sciences connecting strategy business and technology. You will be involved from early client conversations and pre-sales through architecture definition delivery and the evolution of production solutions.

You will also help build capabilities reusable assets propositions and references that strengthen our position in the Life Sciences market.

What you will do

Design end-to-end Data Analytics and AI architectures covering data platforms lakehouse integration governance advanced analytics Machine Learning GenAI and AI agents.

Translate Life Sciences business needs into concrete scalable secure and measurable technology solutions.

Act as a trusted technical advisor for CIOs CDOs Data & AI leaders business stakeholders and architecture teams.

Play an active role in pre-sales: discovery workshops RFP/RFI responses estimates proposals roadmaps high-level architectures demos PoCs and executive presentations.

Work jointly with commercial leaders and Partners to identify and mature opportunities bringing technical credibility and sector knowledge.

Provide technical leadership to multidisciplinary teams including Data Engineers Analytics Engineers Data Scientists ML Engineers and AI specialists.

Define architecture standards and patterns across security integration observability MLOps/LLMOps governance and data quality.

Support solutions through production ensuring operability performance security cost control and long-term scalability.

Contribute to the growth of the Data & AI practice in Barcelona and to BIPs international Life Sciences collaboration.

Mentor junior colleagues and raise the technical bar through design reviews best practices and knowledge sharing.

Industry knowledge Life Sciences

Relevant experience or strong knowledge of the Life Sciences sector is important. The successful candidate should understand key business processes industry challenges and the regulatory context in which clients operate.

Experience in Pharma Biotech MedTech Healthcare or related environments.

Understanding of Data & AI use cases across R&D clinical medical affairs commercial market access supply chain manufacturing quality or patient/healthcare analytics.

Ability to work with sensitive data and regulated environments with awareness of privacy traceability quality governance and compliance principles.

Knowledge of scientific clinical commercial or healthcare data ecosystems will be highly valued.

Essential requirements

Strong experience ideally 7 years across Data Analytics Cloud or AI with increasing responsibility in architecture and/or technical leadership.

Proven experience or strong domain knowledge in Life Sciences with an understanding of the sectors key business processes data ecosystems and regulatory context.

Proven experience designing modern data solutions: data lake/lakehouse data warehouse streaming APIs and integration batch and real-time processing modelling and governance.

Deep knowledge of at least one major hyperscaler (Azure AWS or Google Cloud) and the ability to operate in multi-cloud environments.

Experience with modern data platforms such as Databricks Microsoft Fabric Snowflake BigQuery or equivalent technologies.

Strong SQL skills and solid Python knowledge; practical understanding of Spark and distributed architectures.

Knowledge of AI/ML and GenAI architectures including LLMs RAG agents vector search evaluation guardrails observability and industrialisation patterns.

Strong client-facing experience and the ability to communicate complex decisions to both technical and executive audiences.

Hands-on experience in technical pre-sales and in preparing and defending proposals.

Professional English at a minimum C1 level. Professional Spanish. Italian or Portuguese is a plus.

Availability to work in a hybrid model based in Barcelona and to travel occasionally depending on client/project needs.

Nice to have

Previous experience in technology or strategy consulting.

Commercial or business development experience within Data & AI.

Relevant certifications across Azure AWS Google Cloud Databricks Snowflake or other leading platforms.

Experience in Data Governance Data Mesh catalogues MDM data quality and data-product-oriented architectures.

Experience with MLOps LLMOps CI/CD DevOps and platform automation.

Knowledge of FinOps and performance/cost optimisation.

Ability to build accelerators assets and reusable solutions.

International experience with a track record of working with stakeholders across different geographies and multicultural environments.

Personal capabilities

Consulting mindset and client orientation: listen structure ambiguous problems and turn them into actionable decisions.

Technical credibility: ability to go deep when required while maintaining an end-to-end perspective.

Business orientation: understanding that architecture is a means to create impact not an end in itself.

Communication and influencing skills: confidently present and defend proposals to technical teams business stakeholders and senior management.

Commercial and pre-sales mindset: comfortable participating in opportunity discussions and shaping a compelling value proposition.

Leadership without hierarchy: ability to mobilise teams make decisions and build trust.

Pragmatism autonomy and end-to-end ownership.

Curiosity and continuous learning in a fast-moving technology environment.

What we offer

A strategic role supporting the growth of Data & AI and Life Sciences within BIP Iberia.

High client exposure and direct participation in relevant transformation initiatives.

Real opportunity to influence the development of the practice and new business opportunities.

Collaboration with international teams and specialists across multiple geographies.

Data Analytics AI and GenAI projects using leading technologies.

Professional development training and support for certifications.

Hybrid working model based in Barcelona with flexibility aligned to project needs.

Competitive compensation aligned with experience and responsibility.

Why BIP

Growth & Learning

Access to 300 courses on emerging technologies and business topics personalized development programs and continuous training initiatives to support your professional and personal growth.

Flexibility & Work-Life Integration

Hybrid working model with flexibility to balance remote and office work in agreement with your manager and project needs plus initiatives supporting work-life balance.

Health & Benefits

Private health insurance wellness platforms meal vouchers and an attractive benefits package.

Family & Parenthood

Support for new parents including enhanced parental leave benefits and dedicated initiatives during and after parental leave.

Inclusion & Values

We promote uniqueness and equal opportunities for everyone. We are committed to creating an ethical inclusive and welcoming work environment.

Next Steps

Once we receive your CV we will carefully review your profile. If there is a match with this or other open positions within the Group we will contact you to start our mutual introduction process.

The selection process generally includes an HR interview a technical interview with a Line Manager and potentially a final interview with a Partner. The number and order of interviews may vary.

About Us

Founded in 2003 BIP combines the historical excellence of management consulting with innovation and digitalization. Today we are more than 6.500 professionals across 13 countries delivering over 4500 projects worldwide.

We support our clients in driving large-scale impact through Digital Transformation Data Science Cybersecurity Industry 4.0 IoT and disruptive technologies across all industries.

We believe in excellence as our guiding principle and adopt an ethical and fair approach toward everyone who chooses to work with us fostering an environment where people grow together through diverse expertise.

Bip Iberia en compromiso y coherencia con la Ley Integral para la Igualdad de Trato y la No discriminación tiene abiertas todas las posiciones de búsqueda de perfiles a todas aquellas personas que estén debidamente cualificadas para cubrir la vacante independientemente de su edad discapacidad género orientación sexual o política raza o creencia.

BUSINESS INTEGRATION PARTNERS CONSULTING IBERIA S.L. con NIF By contacto tratará los datos recibidos al aplicar su candidatura en la oferta como Responsable del tratamiento con la finalidad de gestionar el proceso de selección actualmente activo en base a la aplicación de medidas precontractuales del artículo 6.1. b) del GDPR así como para futuros procesos de selección si su perfil fuera de interés en base al consentimiento del artículo 6.1 a).

BUSINESS INTEGRATION PARTNERS CONSULTING IBERIA S.L. no comunicará sus datos a terceros salvo obligación legal. Así mismo el periodo de conservación de su CV como máximo 1 año en el que será destruido.

Igualmente puede ejercer sus derechos de acceso rectificación supresión oposición limitación al tratamiento portabilidad y a no ser objeto de decisiones individualizadas automatizadas o consultar información adicional sobre el tratamiento en el correo :




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