Director of AI & Insights Platforms

Join as the Director of AI & Insights Platforms. In this role, you will define and lead the technology strategy for a portfolio of platforms used by data scientists, machine learning engineers, analytics practitioners, product teams, and business stakeholders. You will create a coherent platform ecosystem, translate business opportunities into platform roadmaps, and align a federated organization. Additionally, you will build and lead the organization, drive end-to-end ownership, and improve the reliability, usability, performance, and measurable business impact of the platforms.

• Definir y liderar la estrategia tecnológica para una cartera de plataformas utilizadas por científicos de datos, ingenieros de aprendizaje automático y partes interesadas comerciales.
• Crear un ecosistema de plataformas coherente que convierta capacidades técnicas complejas en productos autogestionados y confiables.
• Traducir oportunidades comerciales, avances en investigación, necesidades operativas y expectativas regulatorias en hojas de ruta de plataformas claras y capacidades de ingeniería duraderas.

• Platform-product thinking: turning complex technical capabilities into intuitive, scalable self-service products
• User empathy and commercial judgement, with the ability to connect platform investment to practitioner productivity and business outcomes
• Strong strategic and organisational leadership, including roadmaps, investment choices, talent development and operating-model design
• Deep expertise in AI/ML platforms, data platforms, analytics, experimentation and MLOps
• Excellent cross-functional influence and communication across technical, product, governance, risk and business stakeholders
• Strong understanding of model development, deployment, monitoring, orchestration and data/model quality
• Ability to balance speed, innovation, explainability, safety, privacy, security and regulatory expectations, as well as experience in building a strong engineering culture focused on reliability, quality, operational ownership and continuous improvement