IT STARTS HERE
WHY YOU SHOULD CONSIDER THIS OPPORTUNITY
Santander is evolving into a technology-driven organization where Data and Artificial Intelligence are at the core of business transformation. Within this context, Wealth Management & Insurance (WMI) is accelerating its data & AI agenda to enhance client experience, drive growth, and improve efficiency across Asset Management, Private Banking, and Insurance.
This role sits within the local Chief Data & Artificial Intelligence Officer (CDAIO) team in WMI and represents a unique opportunity to drive the adoption of Data & AI capabilities, ensuring alignment between business priorities, data strategy, and AI product deployment.
We are undergoing one of the biggest transformations in our history and technology is at the heart of our strategy. Join our team to play a part in one of the most important technological projects for the financial sector in the world.
Our mission is to contribute to helping more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management. Santander is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation. This job offer is an opportunity not only to join a great company but also to collaborate in projects that have a real impact on society.
THE DIFFERENCE YOU MAKE
As an AI & Data Adoption Specialist, you will play a key role in bridging business, data, and AI within WMI. You will drive the adoption of AI solutions while ensuring strong alignment with data initiatives such as data governance, data models, and customer-centric data platforms (e.g., Customer 360).
Your mission will be to ensure that AI and Data initiatives deliver tangible business impact, by overseeing use cases, coordinating stakeholders, and enabling scalable adoption across WMI.
The role sits within the WMI’s Chief Data & Artificial Intelligence Officer (CDAIO). This role provides an excellent opportunity to influence and shape the strategic agenda for AI adoption and spearhead the deployment of Santander's AI products within the WMI.
Key Responsibilities
1. AI & Data Strategy Execution- Support the definition and execution of the Data & AI strategy aligned with WMI business objectives and Santander’s global roadmap
- Translate business needs into AI and data-driven initiatives with clear value propositions
- Ensure alignment between AI use cases and foundational data capabilities
- Identify, prioritize, and shape high-impact AI/GenAI and data use cases across WMI (e.g., personalization, advisory, operations, risk)
- Act as a key interface between business teams and technical teams (Data, AI Tech, IT)
- Gather and structure business requirements for AI and data initiatives
- Monitor and track AI initiatives end-to-end (from ideation to deployment)
- Ensure delivery progress, impact measurement, and alignment with business KPIs
- Coordinate with AI CoEs and global teams to deploy AI products within WMI
- Contribute to data governance frameworks, ensuring data quality, consistency, and compliance
- Support the definition and evolution of data models and data architecture within WMI
- Drive key data initiatives such as Customer 360, data domains, and data productization
- Promote adoption of AI and data capabilities across WMI teams
- Support training, communication, and change management initiatives
- Act as an ambassador for Data & AI within the business
- Collaborate with CDAIO, business leaders, Data teams, and AI Tech teams
- Coordinate across local and global stakeholders to ensure alignment and scalability
- Engage with external partners when required (vendors, platforms, etc.)
Professional Experience
- 5–8+ years of experience in Data, AI, Analytics, or related roles (Required)
- Experience in financial services, ideally within Wealth Management, Asset Management, or Insurance (Required)
- Proven experience working on AI and/or data-driven initiatives in business environments (Required)
- Experience in project management, coordination, or PMO roles for data/AI initiatives is highly valued
Education
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Mathematics, Business Analytics, or related fields
- Additional certifications in Data, AI, or cloud platforms are a plus.
- Solid understanding of AI/ML and Generative AI concepts and business applications
- Strong knowledge of data management principles (data governance, data quality, data modeling)
- Familiarity with Customer 360, data platforms, and data product concepts
- Understanding of analytics and data-driven decision-making
- Ability to translate business needs into data and AI solutions
- Strong project tracking and delivery management capabilities
- Experience defining KPIs and measuring business impact
- Excellent communication skills across technical and non-technical audiences
- Strong stakeholder management and influencing skills
- Ability to work in cross-functional and international environments
- Strategic thinking with strong execution focus
- Problem-solving and analytical mindset
- Proactive, collaborative, and results-oriented
- Combination of AI adoption + Data strategy execution within a business domain
- High exposure to senior stakeholders in WMI and CDAIO
- Opportunity to shape end-to-end Data & AI initiatives, from use case definition to adoption
- Direct impact on customer experience, growth, and efficiency across Wealth Management & Insurance
WE VALUE YOUR IMPACT
Your contribution matters, and it’s recognized. You can expect a fair, competitive reward package that reflects the impact you create and the value you deliver. But we know rewards go beyond numbers.
We’re here to keep you motivated, help you reach your goals, and celebrate your progresss, every step of the way.
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 this sounds like a role you are interested in, then please apply.
READY TO TAKE THE NEXT STEP IN YOUR JOURNEY?
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Skills Required
- 8+ years of experience in AI/ML roles
- 5+ years of specific experience in financial services
- Experience with large-scale AI/ML project management
- Proven track record of successful AI/ML implementation
- BSc or MSc in Computer Science or related field
- Certifications in AI/ML and/or cloud technologies
- Expert-level knowledge of machine learning algorithms
- Knowledge of GenAI and Prompt Engineering
- Proficiency in Python and AI development frameworks
- Experience with cloud AI platforms (AWS, Azure, GCP)
- Deep understanding of neural networks and deep learning
- Advanced understanding of financial services technology
- Expertise in predictive analytics and data science
- Understanding of regulatory compliance in financial AI systems
Santander Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Santander and has not been reviewed or approved by Santander.
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Retirement Support — A dollar‑for‑dollar 401(k) match up to 6% of eligible pay and immediate vesting are highlighted as core strengths, supporting long‑term savings. This is reinforced by company‑paid disability and life/AD&D coverage that bolster financial security.
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Leave & Time Off Breadth — Paid time off typically ranges from 18–30 days in the U.S. with 11 paid holidays, plus dedicated volunteer and development time; the UK features a minimum of 25 days with buy/sell options. Some roles also use self‑managed PTO, offering additional flexibility depending on team norms.
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Parental & Family Support — U.S. parental benefits include 8 weeks paid for all parents and a total of 16 weeks paid for birth mothers, with flexibility for reduced hours around childbirth. Caregiver leave and dependent‑care programs add further family support.
Santander Insights
What We Do
Banco Santander (SAN SM, STD US, BNC LN) is a leading commercial bank, founded in 1857 and headquartered in Spain and one of the largest banks in the world by market capitalization. The group’s activities are consolidated into five global businesses: Retail & Commercial Banking, Digital Consumer Bank, Corporate & Investment Banking (CIB), Wealth Management & Insurance and Payments (PagoNxt and Cards). This operating model allows the bank to better leverage its unique combination of global scale and local leadership. Santander aims to be the best open financial services platform providing services to individuals, SMEs, corporates, financial institutions and governments. The bank’s purpose is to help people and businesses prosper in a simple, personal and fair way. Santander is building a more responsible bank and has made a number of commitments to support this objective, including raising €220 billion in green financing between 2019 and 2030. In the first quarter of 2024, Banco Santander had €1.3 trillion in total funds, 166 million customers, 8,400 branches and 211,000 employees.
