AI Adoption Specialist - SDS WM&ICountry;: SpainIT STARTS HEREWHY YOU SHOULD CONSIDER THIS OPPORTUNITYSantander () is evolving from a integral, 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.Santander Digital Services (SDS) is the team of technology and operations at Santander. We are convinced of the importance of technology that is aligned with the requirements of the business and that out work not only brings value to users, people and communities but also fosters individual creativity. Our team of over 7,000 people in 8 countries (Spain, Portugal, Poland, UK, USA, Mexico, Chile and Brazil) develops and/or implements financial solutions across a broad spectrum of technologies (including Blockchain, Big Data and Angular among others) on all kinds of on-premise and cloud-based platforms.We are undergoing one of the biggest transformations in our history and technology is at the heart of our strategy.
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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.
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No deje pasar esta oportunidad, inscríbase rápidamente si su experiencia y habilidades coinciden con lo que se indica en la siguiente descripción.
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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 MAKEAs an AI Adoption Specialist, you will lead the strategic development and implementation of AI technologies across Wealth Management and Insurance (WMI) business lines, driving digital transformation, innovation, and competitive advantage through advanced AI solutions.The role sits within the WMI’s Chief Data & Artificial Intelligence Officer (CDAIO).
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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 Develop comprehensive AI strategy aligned with business objectives.
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Design and implement AI-powered solutions for improve customer experience, growth business and revenue and operational efficiency.
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Identify key priority WMI use cases where GenAI can be leveraged.
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Lead cross-functional teams in AI technology development and integration.
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Oversee machine learning models for predictive analytics.
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Ensure compliance with data privacy and ethical AI guidelines.
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Manage AI research, prototype development, and proof of concept initiatives.
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Build and maintain relationships with AI technology vendors and research institutions.Professional Experience 8+ years of experience in AI/ML roles with diverse problem-solving background (Required) 5+ years of specific experience in financial services, wealth management, or insurance technology (Required).
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Experience with large-scale AI/ML project and team management (Required).
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Proven track record of successful AI/ML implementation in enterprise environments (Required).Education BSc or MSc degree in Computer Science, Artificial Intelligence, Mathematics, or related technical field (Required).
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Certifications in AI/ML and/or cloud technologies (Preferred)Hard Skills Expert-level knowledge of machine learning algorithms (Required).
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Knowledge and understanding of GenAI and Prompt Engineering (Required).
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Proficiency in Python, and AI development frameworks (Required).
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Experience with cloud AI platforms (AWS, Azure, GCP) (Required).
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Deep understanding of neural networks and deep learning architectures (Required).
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Advanced understanding of financial services technology (Preferred).
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Expertise in predictive analytics and data science (Required).
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Understanding of regulatory compliance in financial AI systems (Preferred).Soft Skills Strategic th