D&AI Delivery Manager

Location: Barcelona, Spain; Remote

Company

hirify.global is a fully integrated pharmaceutical company focused on medical dermatology, covering research, development, manufacturing and commercialization.

What you will do

• Lead end-to-end delivery of Data, Analytics, AI and Generative AI initiatives aligned with business priorities.
• Manage Data & AI products and services across 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 using business feedback and usage insights.
• Define and track success metrics, KPIs and OKRs while ensuring governance, planning, risk management and stakeholder alignment.
• Coordinate internal teams, external suppliers and technology partners to ensure delivery quality and performance.

Requirements

• 10+ years of experience in IT, Digital, Data & Analytics or AI-related delivery roles.
• Experience delivering Data, Analytics, AI and/or Generative AI solutions in enterprise settings.
• Proven experience leading complex initiatives in agile and cross-functional environments.
• Experience driving adoption, change management and business value realization.
• Experience managing demand pipelines, product roadmaps, prioritization processes, vendors and service partners.
• Experience collaborating with business leaders, Product Owners, Architecture, Security, Legal and external providers.
• Good understanding of modern Data & AI platforms, architectures and delivery models, including 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 Assistants, AI Agents, Retrieval-Augmented Generation, Responsible AI, data governance, security and compliance requirements.
• Strong stakeholder management, influencing, relationship-building, delivery, planning and prioritization skills, with the ability to lead collaboratively without direct authority.
• Fluent English.

Nice to have

• 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 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 with platforms supporting clinical development, laboratory data integration and research data management.
• Experience collaborating with scientists, bioinformaticians, data engineers and business stakeholders.
• Strong understanding of FAIR Data Principles, scientific data governance and regulated cloud-based research environments.

Culture & Benefits

• Purpose-driven work focused on addressing unmet patient needs in medical dermatology.
• Autonomy, ownership and responsibility with an emphasis on measurable impact.
• Environment supporting independent thinking, growth and continuous improvement.
• Global organization with more than 2,000 professionals across 100+ countries and 19 affiliates.