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Santander

Global retail and commercial banking group

Global Retail Artificial Intelligence Senior Analyst

Business OperationsConfirmed live in the last 24 hours
Full-timeMadrid, SpainNo salary listed

About the Job

Requirements

  • Around 5 years of relevant professional experience in digital transformation, process automation, contact-center transformation, advanced analytics, AI product delivery, operations technology or management consulting.
  • Practical experience supporting AI, generative AI, natural language processing, voicebots, chatbots, copilots, robotic process automation/workflow automation or AI-enabled servicing use cases.
  • A University/Bachelor’s degree in Engineering, Computer Science, Telecommunications, Mathematics, Statistics, Physics, Business Analytics, Economics or a similar field.
  • Advanced/full professional proficiency in English.
  • Advanced/full professional proficiency in Spanish.
  • Ability to perform AI and automation use-case discovery, prioritisation, functional design, business-case construction and benefits tracking.
  • Knowledge of conversational AI, natural language processing, voicebots, chatbots, copilots, generative AI, knowledge bases, retrieval-augmented generation concepts and agent-assisted servicing models.
  • Knowledge of contact-center and operations platforms and metrics, including containment, average handle time, first-contact resolution, call deflection, service levels, quality, customer satisfaction, net promoter score and cost-to-serve.
  • Knowledge of end-to-end process redesign, workflow automation, robotic process automation concepts, digital and assisted channels, and operational excellence methods.
  • Proficiency in SQL, Python or equivalent data-analysis tooling, plus business intelligence and value-tracking dashboards.
  • Experience with Agile product delivery and tools such as Jira, Confluence or equivalent, including portfolio governance and multi-country delivery.
  • Knowledge of responsible AI, model governance, human oversight, privacy, security, regulatory and customer-protection considerations in financial services.
  • Strong business judgement and ability to translate AI opportunities into structured use cases and measurable impact.
  • Clear communication and stakeholder-management skills across business, technology and control functions.
  • Ability to coordinate country squads and cross-functional teams in a federated global model.

Responsibilities

  • Support the definition, maintenance and prioritisation of the global Retail AI roadmap, initially focusing on contact-center automation, AI servicing, voicebots, chatbots, copilots, back-office automation and channel-data improvements.
  • Structure prioritised use cases from Apex, Retail business areas and countries, assessing the most appropriate approach across AI, generative AI, automation, advanced analytics, scoring, classification, rules or process redesign.
  • Contribute to the functional design of AI solutions from a business perspective, including target journeys, operating models, human-in-the-loop controls, success metrics and service implications.
  • Analyse required data, knowledge sources, process inputs, quality constraints, platform dependencies and country implementation gaps.
  • Build business cases and impact-tracking analyses covering efficiency, cost reduction, containment, first-contact resolution, service improvement, conversion, risk reduction and customer experience.
  • Coordinate delivery with the Global CDAIO platform team, IT, local CDAIOs, Contact Center & Ops, digital channels, cybersecurity, compliance and other relevant stakeholders.
  • Support country pilots, build evidence on value capture and turn successful pilots into scalable playbooks for other Retail markets.
  • Maintain the AI use-case portfolio, track issues and dependencies, capture cross-country learning, and help ensure solutions follow responsible AI, model risk, data privacy, cybersecurity, operational resilience and customer protection requirements.

Desired Qualifications

  • Experience with LLM-enabled solutions and cross-country technology-enabled business transformation.
  • A Master’s or postgraduate qualification in AI, Data Science, Digital Transformation, Automation, Operations or Technology Management.
  • Portuguese language proficiency.
  • Knowledge of prompt engineering, LLM evaluation, MLOps/LLMOps, API integrations, workflow engines and cloud AI services on AWS or Azure.
  • Analytical mindset, collaboration and adaptability in evolving AI and transformation environments.

About the Company

Santander

Global retail and commercial banking group

Santander is a global bank focusing on retail and commercial banking in Europe and the Americas, serving individuals and SMEs with regional franchises and a broad consumer finance arm, plus a Corporate & Investment Banking division for multinational clients. It uses its Gravity cloud platform to migrate core banking and rapidly deploy digital services such as Openbank across markets, combining fintech-style agility with a bank's balance sheet. The bank differentiates itself by marrying a large retail footprint with global CIB capabilities under the One Santander verticals model to boost efficiency and cross-border revenue. Its goals include improving returns on tangible equity and financing the green economy through sustainable finance and renewable energy projects.

Company size
10,001+
Company stage
IPO
Headquarters
Boadilla del Monte, Spain
Founded
1902

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