Corporate Head of AI
1 day ago
Sant Joan Despí
ph3Corporate Head of AI /h3 pNeuraxpharm is looking for a Corporate Head of AI based in Barcelona (hybrid role). /p h3Your Mission /h3 pDefine and lead the company’s Artificial Intelligence (AI) strategy, ensuring alignment with business objectives and corporate priorities, and taking end‑to‑end ownership of AI‑driven value creation across the organization. /p pDrive the identification, prioritization, orchestration, and delivery of AI use cases, ensuring their successful deployment into production and their measurable impact on business performance. /p pLeverage the corporate data architecture and governance framework to enable scalable and sustainable AI and advanced analytics initiatives, ensuring that data availability, quality, and consistency support industrialized AI adoption. /p pEnable AI use consistently across the pharmaceutical value chain, from RD and regulatory to manufacturing, medical, and commercial, ensuring strict adherence to GxP standards, data integrity principles, and evolving regulatory requirements. /p pPromote a culture of innovation, data‑driven decision‑making, and operational excellence, positioning AI as a key enabler of digital transformation and long‑term competitive advantage. /p h3Your Major Accountabilities /h3 ul liAccelerate AI adoption across the organization by actively driving the understanding, implementation, and scaling of AI use cases, ensuring business teams effectively leverage AI capabilities to generate measurable value. /li liOwn the end‑to‑end lifecycle of AI use cases, from ideation and prioritization to development, deployment, and value realization in production environments. /li liIdentify, evaluate, and prioritize AI opportunities across all business functions, ensuring alignment with corporate strategy and focusing on initiatives with measurable business impact. /li liLeverage external partnerships (technology providers, startups, academic institutions) to accelerate AI capabilities and access best‑in‑class solutions. /li liOrchestrate cross‑functional teams to ensure successful execution of AI initiatives, acting as the central point of accountability for delivery. Partner closely with IT and digital transformation functions to ensure AI solutions are fully integrated into enterprise systems, scalable infrastructure, and core digital platforms. /li liEnsure that AI solutions are scalable, reliable, and integrated into existing business processes and systems, supporting long‑term adoption and sustainability. /li liDrive the industrialization of AI capabilities, including the implementation of best practices for model development, deployment, monitoring, and lifecycle management (MLOps – Machine Learning Operations). /li liEstablish governance and controls for AI usage, ensuring compliance with internal policies, ethical standards, and regulatory requirements. /li liContinuously evaluate emerging AI technologies and trends, identifying opportunities to enhance business performance and maintain competitive advantage. /li liOwn the measurement and tracking of AI‑driven value, ensuring clear linkage between AI initiatives and financial and operational performance (e.g., revenue growth, cost efficiencies, productivity gains). /li /ul h3We Would Like You To Have /h3 ul li8–10+ years of experience in Artificial Intelligence (AI), advanced analytics, or data‑driven transformation roles, with proven experience delivering AI solutions in business environments. /li liStrong experience in the pharmaceutical or life sciences industry, with understanding of the end‑to‑end value chain (RD, clinical development, regulatory affairs, pharmacovigilance, manufacturing, quality, supply chain, and commercial operations). /li liStrong track record in defining, prioritizing, and delivering AI use cases from concept to production, including measurable business impact. /li liSolid understanding of machine learning (ML), predictive analytics, statistical modeling techniques and AI applications in pharma. /li liExperience in leading cross‑functional teams and operating in complex organizational environments, combining business, data, and technology perspectives. /li liFamiliarity with modern AI technologies and platforms, including exposure to Generative AI (GenAI) capabilities and their application in business contexts. /li liExperience working with MLOps practices, ensuring scalability, monitoring, and lifecycle management of AI models in production. /li liHands‑on familiarity with modern data and AI technology stacks, including Cloud platforms, Data platforms, ML frameworks, Data engineering tools. /li liExperience with enterprise AI and analytics/BI platforms. /li liKnowledge of pharma‑specific systems and data environments is highly valuable. /li liDegree in Mathematics, Physics, Statistics, Economics, Engineering, or a related quantitative or analytical discipline. /li liAdvanced degrees or postgraduate studies in Artificial Intelligence, Data Science, Business Analytics, or similar fields are highly valued. /li liLanguage: Fluent English is a must and Spanish/ German desirable. /li liOccasional travel availability. /li /ul h3Benefits /h3 ul liIndividual professional development in a leading European pharmaceutical company with an ambitious international growth strategy. /li liAttractive remuneration according to experience and skills. /li liAn inspiring leadership team that drives performance. /li liAn inclusive culture promoting diversity across teams. /li /ul h3Legal Compliance /h3 pAt Neuraxpharm we ensure an inclusive, diverse, safe and respectful work environment for everyone in its organization. We are committed to guaranteeing a healthy, inclusive and equal opportunity workplace that enables employees to develop their professional potential, while ensuring their individual and collective satisfaction. /p pWe are guided by a Diversity Inclusion policy to ensure a business culture based on the principles of diversity, equality and inclusion. Our policy complies with European legal regulations and includes the necessary standards, processes and measures to be taken in the event of discrimination or harassment against any employee of the company. /p /p #J-18808-Ljbffr
