Customer Data & AI Strategy ManagerCountry: Spain
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 contribute to help 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.
The Wealth Management & Insurance division covers three businesses in all Santander Group countries: Insurance, Asset Management and Private Banking. We work to provide the best solutions to our clients in these three businesses in the 10 countries where we are present.
THE DIFFERENCE YOU MAKE
Whealth Management & Insurance division is looking for a Customer Data & AI Strategy Manager based out of Madrid .
Your mission will be to Lead the Customer 360 roadmap, developing a reliable and comprehensive data ecosystem that empowers every team with actionable insights. This role ensures that customer data is consolidated, accurate, and actionable, enabling business teams to drive hyper-personalized experiences, strengthen customer relationships, and drive growth. You will act as the bridge between business stakeholders and technology teams, ensuring alignment of lifetime customer value strategies with 2wsdata and technology capabilities. You will lead the global and local squads managing the technology teams in an agile environment to ensure customer 360 delivery
We're shaping the way we work through innovation, cutting-edge technology, collaboration and the freedom to explore new ideas. To succeed in this role, you will be responsible for:
1.Customer 360 Vision & Strategy:
1. Design the global data ecosystem model, ensuring alignment with global and local stakeholders, based on use case needs across all customer touchpoints
2. Deploy a customer insurance data lake across all geographies, providing an integrated, indepth customer view merging