We're building the future of medical dermatology by focusing on unmet patient needs and giving people the space to think independently, take ownership and make an impact that matters. We work with care, act with courage, keep things simple and focus our innovation where it makes a difference. The Data & AI Delivery Manager is responsible for leading the delivery and continuous evolution of Data, Analytics, AI and Generative AI products and services, ensuring they generate measurable business value. Acting as a bridge between Business and IT, this role drives execution, adoption and value realization across the Data & AI portfolio. Working with a high degree of autonomy, the Delivery Manager coordinates internal teams, external partners and key stakeholders to ensure successful outcomes and continuous improvement. Lead the end-to-end delivery of Data, Analytics, AI and Generative AI initiatives aligned with business priorities. Manage Data & AI products and services throughout their lifecycle, balancing value, budget, resources and delivery commitments. Promote agile delivery practices and outcome-driven ways of working. Ensure effective governance, planning, risk management and stakeholder alignment. Manage external suppliers and technology partners, ensuring delivery quality and performance. 10+ years of experience in IT, Digital, Data & Analytics or AI-related delivery roles. ~ Proven experience leading complex initiatives in agile and cross-functional environments. ~ Experience delivering Data, Analytics, AI and/or Generative AI solutions in enterprise settings. ~ Strong stakeholder management, influencing and relationship-building skills. ~ Experience driving adoption,



change management and business value realization. ~ Experience collaborating with business leaders, Product Owners, Architecture, Security, Legal and external providers. ~ Experience managing vendors and service partners. ~ Fluent in English. Good understanding of modern Data & AI platforms, architectures and delivery models. Experience with technologies such as Azure, Databricks, Power BI and Power Platform. Familiarity with Generative AI solutions and enterprise AI platforms such as Microsoft Copilot, Copilot Studio, Claude or similar technologies. Awareness of Responsible AI, data governance, security and compliance requirements. Additional Experience In Pharmaceutical R&D; Data & Analytics Experience delivering Data, Analytics and AI initiatives within Pharmaceutical R&D; organizations. Familiarity with scientific data domains, including genomics, transcriptomics, proteomics, single-cell and multi-omics datasets, as well as related analytical and bioinformatics workflows. Experience supporting preclinical research initiatives such as target discovery, target validation and scientific evidence generation. Experience delivering data-driven and AI-enabled initiatives supporting Target Story, Indication Expansion and other research insight generation processes. Experience working with platforms supporting clinical development, laboratory data integration and research data management. Proven ability to collaborate with multidisciplinary teams including scientists, bioinformaticians, data engineers and business stakeholders. Strong understanding of FAIR Data Principles, scientific data governance and regulated cloud-based research environments. Strong delivery, planning and prioritization skills.

📌 Scrum / Delivery Manager (Barcelona)
🏢 Almirall
📍 Barcelona