S

Santander

Global retail and commercial banking group

Global Retail Artificial Intelligence Senior Analyst

Full-TimePosted on 10/15/2026Deadline 11/30/26
No salary listed
Senior
Bachelor's, Master's
Boadilla del Monte, Madrid, Spain
Hybrid
Business & StrategyBusiness Operations

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 or 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 discover and prioritise AI and automation use cases, design their functionality, construct business cases, and track benefits.
  • 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.
  • SQL, Python, or equivalent data-analysis tooling, plus business intelligence and value-tracking dashboards.
  • 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 judgment 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 suitable approaches 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 and Operations, 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 large language model-enabled solutions and cross-country technology-enabled business transformation.
  • A Master’s or postgraduate qualification in artificial intelligence, Data Science, Digital Transformation, Automation, Operations, or Technology Management.
  • Portuguese language proficiency.
  • Knowledge of prompt engineering, large language model 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 is a global bank focusing on retail and commercial banking in Europe and the Americas. It serves individuals and SMEs through strong regional franchises (Spain, Brazil, the UK, the US) and a broad Consumer Finance arm, while supporting multinational clients via its Corporate & Investment Banking division. It digitalizes core banking on its Gravity cloud to rapidly deploy digital solutions like Openbank and cross-border services, blending fintech agility with a traditional bank balance sheet. Its goal is to improve efficiency under the One Santander framework, grow cross-border revenue, and finance sustainable initiatives aligned with Net Zero targets.

Company Size

10,001+

Company Stage

IPO

Headquarters

Boadilla del Monte, Spain

Founded

1902

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Simplify's Take

What believers are saying

  • Green finance reached €188 billion by June 2026, 85% of the 2030 target.
  • Peru's 467 MWp Illa solar financing expands Santander's Andean project-finance franchise.
  • H1 2026 revenue grew 6.5%, supporting management's 2026 profit-growth target.

What critics are saying

  • Santander UK booked £633 million for motor-finance redress; tribunal hearings run into 2027.
  • Webster integration threatens synergies, capital ratios, and the 2028 U.S. profitability thesis.
  • Santander UK cut 44 branches in 2026, risking customer attrition and labor conflict.

What makes Santander unique

  • Santander completed Webster acquisition on August 20, 2026, creating a top-ten U.S. bank.
  • Gravity migrated 97% of IT to cloud, enabling faster product rollouts.
  • Openbank and Work Cafés give Santander a hybrid digital-branch model across markets.

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Benefits

  • Health, dental, & vision
  • 401k
  • Flexible PTO
  • Parental & sick leave
  • Discounts: technology, travel, auto, fitness, & tuition

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

-3%

2 year growth

-3%
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