AI Product Owner

Join to apply for the AI Product Owner role at Santander IT STARTS HERE: Santander ( is evolving from a global, high‑impact brand into a technology‑driven organization, and our people are at the heart of this journey. Together we are driving a customer‑centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible. This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference. Our mission is to help people and businesses prosper. As part of the global AI Transformation team, you will lead and manage strategic artificial intelligence initiatives driving impact on global businesses and core functions. We are looking for someone who connects Business, AI and technology, ensuring AI solutions create measurable value. Santander is seeking an AI Product Owner based in Madrid. The role sits at the intersection of strategy, engineering, data science, and business value creation, owning end‑to‑end outcomes for AI products in a highly regulated, data‑rich environment. You will steer product direction in areas such as enterprise knowledge systems, agentic workflows, internal copilots, ML‑powered intelligence layers, and data feedback loops that strengthen AI behaviour and decisioning. Key Responsibilities Product Strategy and Vision Define and own the product vision for AI systems that support enterprise knowledge, automated reasoning, intelligent workflows, and decisioning. Translate AI strategy into actionable roadmaps, PRDs, and iterative delivery plans with measurable outcomes. Identify opportunities where agentic patterns, retrieval systems, foundation models, and ML can transform internal processes and customer experiences. Shape Santander’s AI ecosystem by aligning data architecture, model orchestration, evaluation pipelines, and human feedback loops. Execution and Delivery Write high‑quality PRDs with functional and non‑functional requirements including safety, latency, explainability, resilience, and integration needs. Design and implement continuous improvement mechanisms using human feedback, telemetry, evaluations, and automated regressions. Partner with engineering to ensure scalable data architectures for embeddings, retrieval, and knowledge centralisation. Work with scientists to define experiments, benchmark models, build eval suites, and track performance against KPIs. Ensure production systems meet strict requirements for privacy, data residency, encryption, safety controls, and model governance. Cross‑Functional Leadership Act as a translator between technical and non‑technical teams to clarify requirements and accelerate decisions. Build strong relationships with security, legal, compliance, and risk teams to meet Responsible AI standards. Drive adoption and education across business units to promote safe and effective use of AI products. Balance near‑term delivery with long‑term architectural clarity. Technical Depth and AI Craftsmanship Demonstrate fluency in embeddings, vector stores, transformers, RAG, agent orchestration, and model alignment. Understand the ML lifecycle including data pipelines, model development, deployment, monitoring, and drift detection. Work with architects to design scalable AI systems that integrate securely with Santander’s platforms. Ensure strong evaluation frameworks for performance, security, hallucination mitigation, fairness, and output quality. Banking Context and Risk Awareness Apply domain knowledge to ensure AI meets regulatory needs, operational standards, customer trust, and data protection obligations. Champion ethical, explainable, and auditable AI that complies with global and local regulations. Navigate the complexity of a global organization and align stakeholders around shared goals. Key Success Metrics Adoption and measurable business value generated by AI products. Performance and reliability of evaluation pipelines. Reduction of manual effort and operational friction through automation and agentic workflows. Quality and scalability of enterprise knowledge and retrieval systems. Productivity gains from AI copilots and intelligence layers. Compliance with privacy, Responsible AI, and model governance requirements. Stakeholder satisfaction and alignment across engineering, data, and business teams. Qualifications Professional Experience 5+ years in AI or ML product management, data product ownership, advanced analytics, or technical product roles (Required). Proven experience taking AI or ML products from concept to production in complex enterprise environments (Required). Experience in financial services, regulated industries, or large‑scale distributed systems (Preferred). Education Bachelor’s or master’s degree in computer science, AI, Data Science, Engineering, Mathematics, or a related technical field (Required). Languages Fluent English (Required). Spanish proficiency or native (Required). Hard Skills Ability to understand embeddings, transformers, vector databases, and agent workflows (Required). Experience with ML pipelines, data architecture, and evaluation frameworks (Required). Strong understanding of data governance, privacy, security, and ethical AI (Required). Ability to write PRDs, define KPIs, run discovery, and drive delivery (Required). Familiarity with experimentation frameworks, A/B testing, and model monitoring (Required). Soft Skills Comfortable with ambiguity and rapidly evolving problem spaces (Required). Excellent communicator who can simplify complex topics (Required). Strong leadership without formal authority (Required). Bias toward action, ownership, and delivering measurable impact (Required). Benefits We’re enabling our teams to go beyond through global opportunities and broad career paths. Flexibility that works: hybrid working models, flexible hours. Learning for life: hundreds of courses, exclusive access to Santander Open Academy. Competitive rewards: highly competitive salary, performance‑based bonuses. Financial advantages: preferential banking terms, special interest rates on loans, life insurance. Health is our priority: BeHealthy wellness programme promotes holistic well‑being. Family‑friendly programmes: childcare support, tailored family programmes. Legal, emotional, administrative advisory services: Santander Contigo. Extra benefits: Gym/WellHub membership, medical centers, meal subsidy, parking, shuttle service, exclusive discounts. Local Compliance Santander is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation. We are committed to providing an inclusive and accessible application process for all candidates. What To Do Next If you are interested in this role, please apply. Seniorities: Mid‑Senior level. Employment type: Full‑time. Job function: Project Management, Information Technology, Product Management. Industries: Financial Services; IT Services and Consulting; Software Development. #J-18808-Ljbffr