Data & AI Architect – Life Sciences

About the role

We are looking for a Manager / Senior Data & AI Architect to join our Barcelona team and help us grow one of BIP Iberia’s 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 BIP's 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 BIP’s 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 sector's 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 4,500 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 B84701903 y contacto [email protected] 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 : [email protected].