Chief Data Officer

PagoNxt (a Santander company); Madrid; Presencial; EUR 110.000 - 125.000; Jornada completa

Descripción de la vacante

A global payments platform is seeking a candidate to lead data and AI projects, driving efficiency and innovation. Responsibilities include defining the Data & AI strategy, leading adoption across the organization, and ensuring compliance with data regulations. Candidates should have 5-10 years of relevant experience, proven leadership in data programs, and a degree in a suitable field. Join a culture that values well-being and inclusion as we build the future of payments globally.

Formación

• 5-10 years of experience in Data & AI roles.
• Proven leadership in strategic data and AI programs.
• Ability to translate business needs into data solutions.

Responsabilidades

• Define and execute the Data & AI strategy for PagoNxt Payments.
• Lead the adoption of Data & AI capabilities across the organization.
• Ensure regulatory compliance regarding data use and security.

Conocimientos

Data Analytics

Data Engineering

Machine Learning

Predictive Models

Advanced Analytics

Generative AI

Educación

Bachelor's degree in Computer Engineering, Telecommunications, Mathematics, Physics, Statistics, or Quantitative Economics

Master's degree in Big Data/Data Science or an MBA

Descripción del empleo

PagoNxt Payments | ✨ Your talent drives our future

PagoNxt Payments

is Santander Group’s global payments platform, focused on providing tailored financial infrastructure for companies, banks, and fintechs — both inside and outside the Santander ecosystem.

With operations in over 10 countries, our mission is clear :

to simplify payments and empower businesses

through secure, flexible, data-driven technology.

We operate on a cloud-native architecture designed to scale and adapt to the needs of global organizations. Our platform supports international transactions, FX, multi-currency accounts, regulatory compliance, and fraud prevention — all under a unified approach.

PagoNxt Payments

combines the agility of a fintech with the reliability of a global bank. With teams across

Spain, Brazil, Mexico, Portugal, the UK, and Germany

, we are building the future of payments at global scale.

✨ This means you’ll have the opportunity to build impactful solutions, grow with real development opportunities, and thrive in a culture that values well-being, inclusion, and clarity.

We combine flexibility, autonomy, and global collaboration — so you can focus on what matters, connect with purpose, and shape what’s next.

Lead data & AI projects across Pagonxt Payments to drive efficiency, transformation, and innovation across the organization

The selected candidate will play a pivotal role in defining / shaping the Data & AI strategy of the company, and in inspiring the organization to ensure a successful execution.

Define and execute the data and artificial intelligence strategy for PagoNxt Payments, aligned with corporate objectives and business priorities.

Lead the adoption of Data & AI capabilities across the organization, promoting a data-driven culture and ensuring the responsible and secure use of advanced technologies.

Project Management and Execution

Consolidate, prioritize, and provide end-to-end oversight of Data & AI projects within Payments.

Ensure the effective execution of projects under their responsibility, guaranteeing tangible results, technical quality, and compliance with deadlines.

Act as the focal point to coordinate operations, product, technology, finance, and other Payments teams involved in data and AI initiatives.

Data Governance and Data Quality

Promote the framework for data governance, quality, and management, including standards definition, lineage, metadata, cataloging, and quality controls.

Ensure regulatory compliance regarding data use, security, privacy, and ethics in model development.

Qualifications

• 5-10 years of experience in roles related to Data & Analytics, Data Engineering, AI / ML, or information technologies.
• Proven experience leading strategic data and AI programs. Bachelor's degree in Computer Engineering, Telecommunications, Mathematics, Physics, Statistics, Quantitative Economics, or similar fields.
• A Master's degree in Big Data, Artificial Intelligence, Data Science, or an MBA will be a strong advantage.
• Proven ability to translate business needs into data and AI solutions.
• Knowledge of machine learning, predictive models, advanced analytics, and generative AI.