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We are looking for a Product Owner to lead Data & AI products and drive agile delivery within a SAFe environment. The role involves managing product backlogs, defining and prioritizing requirements, coordinating with cross-functional teams, and ensuring the successful delivery of data, analytics, and AI initiatives aligned with business goals. You will work closely with Product Managers, Data Scientists, Engineers, and stakeholders to translate business needs into actionable user stories and measurable outcomes. Experience with Agile methodologies, SAFe, and Data & AI products is highly desirable. Siga leyendo para comprender completamente lo que este trabajo requiere en cuanto a habilidades y experiencia. Si su perfil encaja, presente su candidatura. We are a team of over 180 professionals passionate about what we do, working hand in hand on every project. Our individuals are part of a multidisciplinary environment where cooperative work is the key to our success. We are committed to ensuring a professional career by designing the evolution of knowledge and responsibilities. We collaborate with leading companies in innovation, learning from them and discovering new perspectives. What will be your purpose? You will be leading one of our Product teams within one or more domains across our Data & AI area, driving agile transformation and bringing innovative data and artificial intelligence initiatives to life. You will do this by role modelling and embedding agile ways of working, fostering collaboration across multidisciplinary teams, and applying SAFe as the overarching framework to deliver scalable, high-impact solutions. Key Responsibilities • Own and manage the product backlog for one or more Data & AI products, ensuring alignment with business objectives and strategic priorities., • Prepare and actively contribute to Programme Increment (PI) Planning events, helping shape the vision, roadmap, and delivery priorities across Data & AI initiatives., • Collaborate closely with Product Managers, Data Scientists, AI Engineers, Data Engineers, Architects, and business stakeholders to define and prioritize product features and capabilities., • Translate business needs into clear user stories, acceptance criteria, and product requirements that enable the successful delivery of Data & AI solutions., • Support backlog refinement activities and facilitate story definition, ensuring teams have the context required for accurate estimation and planning., • Prioritize and continuously refine backlog items based on business value, customer impact, technical dependencies, risk, and delivery timelines., • Work with Agile teams to define and achieve Programme Increment objectives and product outcomes., • Ensure delivered functionality meets acceptance criteria, quality standards, and the agreed Definition of Done (DoD)., • Facilitate communication and alignment between business stakeholders and technical teams, balancing business priorities with technical feasibility., • Collaborate with Data & AI teams to define use cases, success metrics, model adoption strategies, and measurable business outcomes., • Support the development of AI-powered products, machine learning capabilities, analytics solutions, and data-driven initiatives across the organization., • Coordinate dependencies across multiple teams within the Agile Release Train (ART), proactively identifying and mitigating delivery risks., • Participate in sprint reviews, product demonstrations, retrospectives, and other Agile ceremonies to drive continuous improvement., • Promote data-driven decision-making by leveraging product metrics, user feedback, and business insights., • Drive continuous improvement initiatives that enhance product quality, delivery efficiency, and overall value creation. Nice to Have • Experience working with Data, Analytics, Artificial Intelligence, Machine Learning, Generative AI, or Large Language Models (LLMs)., • Understanding of Data & AI platforms, data products, MLOps, or AI product lifecycle management., • Experience defining KPIs, product metrics, and value realization frameworks for digital or AI-driven products., • Familiarity with cloud-based Data & AI ecosystems on AWS and/or Azure., • Previous experience working within SAFe environments and Agile Release Trains (ARTs). What we offer • The opportunity to grow professionally in a technology-driven and innovative environment., • Flexible working hours that support work-life balance. The team typically works from 9:00 AM to 5:00 PM., • A collaborative, challenging, and supportive work environment, surrounded by colleagues who will help you overcome project challenges and continue developing your skills., • Professional growth opportunities through personalized career plans aligned with training programs and certifications, designed to support both your professional and personal development., • Hybrid working model, with 2–3 days per week onsite in Viladecans., • Flexible compensation package including private health insurance, transportation allowance, meal vouchers, and childcare vouchers. In addition, employees have access to exclusive discounts with brands such as Zalando, Amazon, Airbnb, H&M, and the Inditex Group, as well as discounts on training courses and restaurants., • Access to a comprehensive wellbeing platform, including gym memberships and personal trainers (online and onsite), mental health support (psychologists, meditation and sleep-management apps), and nutrition services (sessions with nutritionists), all at special employee rates., • Opportunities to improve your language skills through training programs and learning plans. xcskxlj, • The chance to be part of a company that actively promotes equality, diversity, and inclusion. Hablemos #J-18808-Ljbffr

Buscamos un/a DevOps AI Engineer para diseñar y operar la plataforma cloud que soporta las soluciones de Inteligencia Artificial del grupo. Será responsable de gestionar infraestructuras en AWS y Kubernetes (EKS), automatizar despliegues mediante Terraform y CI/CD, y dar soporte a entornos MLOps con herramientas como SageMaker, MLflow, Airflow y Kubeflow. Trabajará estrechamente con equipos de Data Science e IA para garantizar plataformas escalables, seguras y eficientes en producción. Se requiere experiencia sólida en AWS, Kubernetes y automatización de infraestructuras cloud. Asegúrese de leer la descripción completa a continuación y, si confía en que cumple todos los requisitos, envíe su solicitud de inmediato. Somos un equipo de más de 180 profesionales apasionados por lo que hacemos, que trabajamos de la mano en cada proyecto. Cómo será el día a día? • Diseñar, construir y operar la infraestructura cloud en AWS que soporta los servicios de IA del grupo., • Gestionar entornos productivos en Kubernetes (EKS), garantizando escalabilidad, alta disponibilidad y resiliencia., • Implementar y mantener infraestructura como código con Terraform, asegurando entornos reproducibles y automatizados., • Soportar plataformas de machine learning como AWS SageMaker y servicios relacionados de AWS AI/ML., • Orquestar pipelines de datos y machine learning mediante Apache Airflow (AWS Managed) y Kubeflow sobre EKS., • Gestionar el ciclo de vida de modelos mediante herramientas como MLflow (tracking, versionado y registro de modelos)., • Automatizar procesos de CI/CD para despliegue de infraestructura, servicios y componentes de ML., • Monitorizar sistemas en producción (logs, métricas, alertas) y resolver incidencias relacionadas con infraestructura o rendimiento., • Colaborar estrechamente con equipos de Data Science, AI Engineering y Software Engineering para habilitar casos de uso de IA., • Optimizar continuamente la plataforma en términos de coste, rendimiento, seguridad y escalabilidad., • Participar en decisiones de arquitectura de la plataforma de IA en cloud. Requisitos • Experiencia como DevOps / Platform / Cloud Engineer senior., • Experiencia con Kubernetes (EKS) en producción., • Conocimiento de Terraform., • Experiencia con Airflow, Kubeflow o similares., • Familiaridad con MLOps (SageMaker, MLflow)., • Perfil orientado a automatización, escalabilidad y operación de plataformas cloud. Oportunidad de desarrollarte profesionalmente en un entorno tecnológico y de innovación. Contratación indefinida. Contarás con un horario flexible y conciliador. Normalmente el equipo trabaja de 9am a 5pm. Trabajarás en un ambiente de trabajo agradable y retador, rodeado de compañeros que te ayuden a superar retos dentro de los proyectos donde te desarrollarás. Ofrecemos oportunidades de crecimiento profesional con planes de carrera individualizados y alineados con formaciones y certificaciones, pensados para tu desarrollo profesional y personal. Posibilidad de teletrabajo en un modelo híbrido. 2-3 días presencialidad en Viladecans. Retribución flexible: Seguro médico, tickets transporte, ticket restaurante y cheque guardería. Además, al concertar esto tenemos acceso a una serie de beneficios extra como descuentos exclusivos en distintas marcas como Zalando, Amazon, Airbnb, H&M, Grupo Inditex…etc y descuentos en formaciones y restaurantes de manera añadida. Acceso a una plataforma integral de bienestar: Red de gimnasios y entrenadores personales (online y presencial), salud mental (psicólogos, apps de meditación y gestión del sueño) y nutrición (sesiones con nutricionistas), todo a un precio muy especial para empleados de aktios. La posibilidad de mejorar tu nivel de idiomas a través de nuestras formaciones y planes. xcskxlj Ser parte de una compañía que apuesta por la igualdad y la diversidad. #J-18808-Ljbffr

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