## IT BUSINESS PROCESS MANAGER

Dé el siguiente paso en su carrera cualificado ahora: desplácese hacia abajo para leer la descripción completa del puesto y envíe su solicitud.

- R&D; DATA SCIENCEPresenta candidaturaremote type: Corporate & Support Functionslocations: SANT FELIU DE LLOBREGATtime type: Full timeposted on: Offerta pubblicata oggijob requisition id: 001564Stiamo costruendo il futuro della dermatologia medica concentrandoci sui bisogni ancora insoddisfatti dei pazienti e dando alle persone lo spazio per pensare in modo indipendente, assumersi responsabilità e generare un impatto che conta davvero.Il nostro purpose è semplice: trasformare la vita dei pazienti rispondendo a bisogni reali.

Lavoriamo con rigore, agiamo con coraggio, teniamo le cose semplici e orientiamo l’innovazione dove può davvero fare la differenza.Riconosciuti come Top Employer in Spagna dal 2008 e in Germania dal 2025, continuiamo a investire in un ambiente in cui le persone possono crescere e andare avanti.Se pensi in modo diverso, qui è il posto giusto per te.

MISSION

Act as the IT solution owner and trusted partner for the R&D; Data Science team, collaborating closely with bioinformatics, molecular modelling, and AI Engineering to ensure alignment, proximity, and effective day-to-day collaboration.

Own and support Data Science applications, both internally developed and third-party, ensuring business alignment, prioritization, and adoption.

The role is accountable for end-to-end coordination, while execution of operations, architecture, security, compliance, and support is delivered in collaboration with specialized IT teams and external vendors.

This role serves as a ring-fenced resource dedicated to Data Science needs, enabling faster decision-making, better communication, and more efficient delivery of IT services.

It requires a strong scientific background and solid experience in R&D; Data Science environments.

TASKS AND RESPONSIBILITIES

Operational

Lead demand intake, service coordination and project delivery for Data Science-related IT needs in close collaboration with Data Science stakeholders, especially bioinformatics and modelling teams

Manage software development lifecycle of custom Data Science tools supporting the acceleration of hypothesis generation and scientific insight creation

Act as a Single Point of Contact (SPOC) in IT for Data Science users, reducing complexity by shielding business stakeholders from interacting with multiple IT teams and ensuring seamless coordination across infrastructure, security, data and application domains

Partner with relevant IT domains to evolve technology capabilities for R&D; Data Science, supporting scientific platforms,



advanced computing, omics, multimodal analytics, molecular modelling and AI/ML in line with business priorities

Translate, review, and validate Data Science requirements into actionable IT deliverables with clear scope, timelines, and responsibilities, while safeguarding business and end-user needs through a unified model for demand intake, backlog prioritization, issue management and adoption

Coordinate with the appropriate governance, security and compliance functions to ensure Data Science solutions align with R&D; and enterprise requirements, including AI ethics, monitoring and risk management

Coordinate with service support teams and technology vendors to ensure technical solutions meet agreed functional and performance expectations

Ensure that appropriate documentation, knowledge transfer and service transition are in place for handover to IT support teams

Accountable for the update of data science system maps and software developed by data science that support R&D; business operations

Work with the relevant expert teams to ensure systems and pipelines meet required standards for backup, data integrity, security and GxP compliance

Contribute to cost-efficient technology decisions aligned with the long-term R&D; business strategy, in collaboration with the relevant IT and procurement stakeholders

Define and track KPIs to measure solution performance, adoption and business value.

Drive project management using agile methodologies and increase speed of delivery, reducing time to insight and enabling faster hypothesis generation in all possible stages of Data Science flat & self-organised model.

Represent Data Science growth needs in IT planning to help ensure that platforms and services can scale appropriately for omics, advanced analytics and AI use cases

Coordinate the design and evolution of the end-to-end architecture for the Data Science environment with enterprise architecture and specialist IT teams, ensuring scalability, resilience and alignment with corporate standards across ideation, pilots and production solutions

Orchestrate cross-functional delivery involving Data & AI, Infrastructure & Operations, Security and Digital Solutions, with clear ownership across the relevant IT domains

EXPERIENCE





At least 5 years of experience working in R&D; Pharma in close collaboration with bioinformatics and IT teams

Deep understanding of R&D; Data Science workflows (omics, bioinformatics, AI/ML pipelines, and computational modeling)

Proven ability to operate at the intersection of science and technology, translating scientific challenges into scalable IT solutions

Experience in HPC, cloud platforms (preferably Azure), or equivalent architectures for compute-intensive workloads

Deep knowledge of advanced computing environments, supporting analytics, scientific pipelines AI/ML, or simulation workloads

Market vision for solutions to support data scientist in Pharma R&D; environment.

Broad understanding of the Pharma industry including security and GxP compliance

Python, Linux, Apache, Postgres, Bash, R, Gitlab, Shiny server, Package manager Posit Workbench & Connect, services configuration management and automation, supports custom DS application to allow developer users to install code packages, Docker CI/CD, kubernetes clusters, LakeHouse integrations (preferably DataBricks)

Demonstrated experience in designing and implementing end to end data and cloud architectures including infrastructure, data pipelines, and application integration for complex and scalable environments

Solid experience managing full lifecycle of solutions from ideation and proof of concept to industrialization production deployment and ongoing evolution & continuous improvement

Proven track record in leading or coordinating cross-functional teams including Data & AI, infrastructure, security and external vendors

- Proven ability to enable innovation and evaluate non-standard technologies, balancing agility with compliance and enterprise architecture in fast-evolving environments MISSION Act as the IT solution owner and trusted partner for the R&D; Data Science team, collaborating closely with bioinformatics, molecular modelling, and AI Engineering to ensure alignment, proximity, and effective day-to-day collaboration.

Own and support Data Science applications, both internally developed and third-party, ensuring business alignment, prioritization, and adoption.

The role is accountable for end-to-end coordination, while execution of operations, architecture, security, compliance, and support is delivered in collaboration with specialized IT teams and external vendors.

This role serves as a ring-fenced resource dedicated to Data Science needs, enabling faster decision-making, better communication, and more efficient delivery of IT services. xqbhyrx

It requires a strong scientific background and solid experience in R&D; Data Science environments.

📌 IT BUSINESS PROCESS MANAGER - R&D DATA SCIENCE (San Feliú de Llobregat)
🏢 Almirall
📍 San Feliú de Llobregat