D&AI DELIVERY MANAGER
3 days ago
Barcelona
Mission Si está considerando enviar una solicitud, asegúrese de pulsar el botón de solicitar de abajo después de leer la descripción completa. 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. Key Responsibilities • 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., • Partner with business stakeholders, Product Owners and Sponsors to shape demand, challenge requirements and prioritize initiatives., • Drive product adoption, value realization and continuous improvement based on business feedback and usage insights., • Promote agile delivery practices and outcome-driven ways of working., • Define and track success metrics, KPIs and OKRs aligned with business objectives., • Ensure effective governance, planning, risk management and stakeholder alignment., • Manage external suppliers and technology partners, ensuring delivery quality and performance. Required Experience • 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 managing demand pipelines, product roadmaps and prioritization processes., • Experience collaborating with business leaders, Product Owners, Architecture, Security, Legal and external providers., • Experience managing vendors and service partners., • Fluent in English. Technical & AI Knowledge • 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., • Understanding of AI delivery patterns including AI Assistants, AI Agents and Retrieval-Augmented Generation (RAG)., • Awareness of Responsible AI, data governance, security and compliance requirements., • Ability to translate technology capabilities into business outcomes and adoption. 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. Key Capabilities • Strong business and value-oriented mindset., • Product-focused approach with emphasis on adoption and outcomes., • Ability to influence stakeholders and drive alignment across business and technology teams., • Strong delivery, planning and prioritization skills. xcskxlj, • Collaborative leadership style with the ability to work effectively without direct authority. #J-18808-Ljbffr