Descripción de la oferta
Are you being referred to one of our roles by a connection in Alira Health? If so, please apply using the referral link emailed to you.Join our global team dedicated to innovation and initiative, where physical walls and different time zones don’t limit, but encourage, collaboration. Where all contributions and new ideas are explored with an open mind and work is driven by our shared values: be courageous, be accountable, be honest, be inclusive and elevate others.Job Description SummaryJob DescriptionThe AI Lead is accountable for defining and executing Alira Health’s AI strategy and adoption roadmap across IEC and EVG, ensuring alignment with business priorities, data privacy requirements, and governance standards appropriate for regulated life sciences work.This role leads the practical integration of AI assistants and agentic workflows into day-to-day business processes, with a specific focus on scalable operational enablement, system reliability, and end-to-end ownership of data and AI solutions.In addition to strategy and governance, this role is responsible for the design, delivery, and operation of scalable data and AI systems, ensuring initiatives are built on robust, production-ready platforms.The AI Lead oversees a focused team of Data and AI Engineers and is accountable for both what is built (strategy, prioritization) and how it is built and operated (architecture, engineering, and delivery).Key ResponsibilitiesAI Strategy, Portfolio & Delivery ModelDefine and maintain the enterprise AI roadmap and long-term development strategy based on validated requirements and feasibility assessmentsDrive structured intake, prioritization, and sequencing of AI use cases in partnership with PMO and business stakeholdersEnsure alignment between AI initiatives and business value, data availability, and technical feasibilityData & AI Platform OwnershipOwn end-to-end architectures for AI solutions leveraging current company stack (Azure, Snowflake) Design and implement scalable data platforms(data ingestion, transformation, storage, serving) for AI applicationEnsure production-grade reliability, monitoring, alertingDefine and enforce engineering standards for scalability and performanceEngineering LeadershipLead and mentor a team of Data and AI EngineersSet technical direction and guide architecture decisionsConduct design reviews and ensure high-quality engineering practicesBuild a strong engineering culture focused on ownership and deliveryAI Governance, Risk Management & ComplianceImplement a centralized AI governance model aligned with business strategy, data security, and compliance expectationsEnsure governance supports scalable delivery without blocking engineering velocityDefine data governance foundations (access boundaries, confidentiality, compliance constraints)Ensure feasibility checks are performed (data availability, technical constraints, readiness)Operational Enablement & Performance MeasurementEstablish standardized adoption frameworks, training programs, and guidance materialsEnsure systems are measurable with clear KPIs on performance, reliability, and business impactProvide structured reporting on delivery progress, risks, and outcomesDesired Qualifications & ExperienceMaster’s degree (preferred) in Computer Science, Data Science, Engineering, or related field (PhD a plus)5 years of experience across data science/ML, analytics, or AI delivery, including 2+ years leading teamsProven experience designing and operating production data and ML systems at scaleExperience leading Data Engineering / MLOps / ML Engineering teamsExperience in consulting or professional services is preferred, ideally within healthcare or life sciences environmentsDemonstrated experience implementing AI governance in regulated environmentsProven cross-functional leadership with IS&T/IT, PMO, Operations, and business stakeholdersTechnical CompetenciesStrong applied Generative AI and agentic workflows understanding plus practical implementation oversightDeep experience with software, data and AI engineering practices (solution design, infrastructure-as-a-code, CI/CD, AI observability)Strong experience with data platforms, distributed systems, and scalable pipelinesStrong grasp of data and AI regulationsExperience with cloud platforms (Azure, AWS), orchestration tools, and modern data stacksSoft SkillsExecutive presence and strong influence across practices and functionsHigh judgment and risk awarenessStructured, pragmatic operator focused on delivery and outcomesStrong coaching and enablement orientationLanguagesEnglishEducationMasters of Science (MS): Computer and Information Science, Masters of Science (MS): Data Processing, Masters of Science (MS): EngineeringContract TypeRegularSummaryLocation: BarcelonaType: Full time
