Cepsa, recently rebranded as Moeve, is a leading international energy company and one of Spain's largest industrial groups. The company operates across the entire energy value chain, including petroleum refining, chemicals, and marketing, while aggressively pivoting toward green hydrogen, biofuels, and sustainable mobility through its "Positive Motion" strategy. With a workforce of approximately 10,000 employees, it plays a critical role in the European energy transition.

Headquartered in Madrid, the company maintains a massive footprint across Spain, including major refineries in Huelva and San Roque and a vast network of service stations. For international professionals, Cepsa offers a multicultural corporate environment, particularly within its trading, digital transformation, and renewable energy divisions. The company is highly active in recruiting international talent for technical and sustainability-focused roles, often utilizing English as a primary business language in its global operations.

Founded in 1929 as Spain's first private oil company, Cepsa has evolved from a traditional petroleum refiner into a global energy player. After decades of expansion and ownership changes involving Mubadala and The Carlyle Group, the company rebranded to Moeve in 2024 to focus on the energy transition.

For international professionals

Recently rebranded to Moeve in 2024 to signal its commitment to becoming a leader in green hydrogen and sustainable energy.
Offers the 'Welcome U' internship and graduate program, which is a major entry point for international talent in Spain.
Operates major industrial hubs in Andalusia and the Canary Islands, providing opportunities outside of the Madrid corporate hub.
English is widely used in corporate departments such as Trading, IT, and Renewable Energy Development.
Headquartered in the Cepsa Tower, one of the tallest and most iconic buildings in Madrid's financial district.

AI & Data Quality

Cepsa

This job was originally posted in Spanish and automatically translated to English. You'll most likely need Spanish to apply.

Job Description

Every day can be your first day

What the role consists of
Integrated into the Technology, Projects, and Services area, you will be responsible for leading, defining, and ensuring—at a corporate level—the quality, reliability, integrity, traceability, and fitness for use of the data and Artificial Intelligence systems of Moeve. You will ensure that all data assets, advanced analytics, and AI used for critical decision-making and business operations meet the highest standards of quality, governance, ethics, regulatory compliance, and technical robustness, maximizing their strategic value and minimizing operational, financial, regulatory, and reputational risks.

Some of your main functions will be:

Define and direct the corporate Data Quality and AI Quality framework, aligned with the global Data & AI strategy, the Data Governance model, the Responsible AI Office, and international standards (ISO/IEC 42001, DAMA, etc.).
Establish mandatory corporate policies, standards, metrics, thresholds, and quality controls applicable to all data domains, analytical platforms, and AI systems of the company.
Ensure the end-to-end quality of data and AI models throughout their entire lifecycle: capture, processing, training, validation, deployment, monitoring, and retirement.
Define and oversee the quality, robustness, explainability, fairness, stability, and performance criteria of AI models in production, with the technical authority to validate or block their deployment into production.
Design and implement advanced mechanisms for continuous data and model monitoring (data observability, model monitoring, drift, degradation, biases, and emerging risks).
Lead the corporate management of critical data and AI quality incidents, coordinating remediation plans with business, technology, and operations.
Act as the second technical line of defense for risks associated with data and AI, collaborating closely with Legal, Compliance, DPO, Information Security, and Internal Audit.
Prepare, coordinate, and defend internal and external audits, certifications, and regulatory reviews related to data, AI, and algorithmic systems.
• Ensure that data and AI assets used in industrial operations, energy parks, finance, sustainability, and corporate reporting are reliable and defensible.
Lead the evolution of the Data Quality, AI Governance, and observability tool ecosystem, defining corporate technological standards.
Drive the corporate culture of quality, responsibility, and excellence in the use of data and AI through training, awareness, and business support.

Who we are looking for

Education: Engineering, Computer Science, Mathematics, Statistics, Data Science, or equivalent degrees.
Languages: Advanced English (minimum B2)
Experience: At least 8-10 years of professional experience in advanced data environments, AI, data governance, or technological risk management in complex organizations.

You possess deep knowledge of data platforms, Data Quality frameworks, MLOps lifecycles, model monitoring, and large-scale cloud environments.

It would be ideal if you also:

Hold advanced certifications in Data Quality (CDMP), AI Governance, Responsible AI, or specific knowledge of the ISO/IEC 42001 standard.

Location: Madrid

Why join the Moeve team?
With more than 10,000 employees, an international presence, and nearly 100 years of history, at Moeve we lead the energy transition for a better world. Our goal is to take care of people and the planet, starting with the people who make up the Moeve team. Open a new door.

Your first day starts here.

Take the step today

Moeve always ensures equal opportunities, identifying and developing the full potential of people based exclusively on their abilities to perform their functions and on non-discrimination based on sexual orientation and identity, gender expression or sexual characteristics, as well as other dimensions of diversity.

View original advert (Spanish)

Cada día puede ser tu primer día

En qué consiste el rol
Integrado/a en el área de Tecnología, Proyectos y Servicios , serás responsable de liderar, definir y garantizar a nivel corporativo la calidad, fiabilidad, integridad, trazabilidad y adecuación al uso de los datos y de los sistemas de Inteligencia Artificial de Moeve, asegurando que todos los activos de datos, analítica avanzada e IA utilizados para la toma de decisiones críticas y la operación del negocio cumplen con los más altos estándares de calidad, gobierno, ética, cumplimiento regulatorio y robustez técnica, maximizando su valor estratégico y minimizando riesgos operativos, financieros, regulatorios y reputacionales.

Algunas de tus principales funciones serán:

Definir y dirigir el marco corporativo de Calidad del Dato y Calidad de la IA, alineado con la estrategia global de Data & AI, el modelo de Gobierno del Dato, el Responsible AI Office y los estándares internacionales (ISO/IEC 42001, DAMA, etc.).
Establecer políticas corporativas obligatorias, estándares, métricas, umbrales y controles de calidad aplicables a todos los dominios de datos, plataformas analíticas y sistemas de IA de la compañía.
Garantizar la calidad end-to-end de los datos y modelos de IA a lo largo de todo su ciclo de vida: captura, procesamiento, entrenamiento, validación, despliegue, monitorización y retirada.
Definir y supervisar los criterios de calidad, robustez, explicabilidad, equidad, estabilidad y rendimiento de los modelos de IA en producción, con autoridad técnica para validar o bloquear su puesta en producción.
Diseñar e implantar mecanismos avanzados de monitorización continua de datos y modelos (data observability, model monitoring, drift, degradación, sesgos y riesgos emergentes).
Liderar la gestión corporativa de incidencias críticas de calidad del dato y de la IA, coordinando planes de remediación con negocio, tecnología y operaciones.
Actuar como segunda línea técnica de defensa en riesgos asociados a datos e IA, colaborando estrechamente con Legal, Compliance, DPO, Seguridad de la Información y Auditoría Interna.
Preparar, coordinar y defender auditorías internas y externas, certificaciones y revisiones regulatorias relacionadas con datos, IA y sistemas algorítmicos.
• Asegurar que los activos de datos e IA utilizados en operaciones industriales, parques energéticos, finanzas, sostenibilidad y reporting corporativo son fiables y defendibles.
Liderar la evolución del ecosistema de herramientas de Data Quality, AI Governance y observabilidad, definiendo estándares tecnológicos corporativos.
Impulsar la cultura corporativa de calidad, responsabilidad y excelencia en el uso de datos e IA mediante formación, concienciación y acompañamiento a negocio.

A quién estamos buscando

Formación: Ingeniería, Informática, Matemáticas, Estadística, Ciencia de Datos o titulaciones equivalentes.
Idiomas: inglés avanzado (mínimo B2)
Experiencia: Al menos 8-10 años de trayectoria profesional en entornos avanzados de datos, IA, gobierno del dato o gestión de riesgo tecnológico en organizaciones complejas.

Posees conocimientos profundos en plataformas de datos, frameworks de Data Quality, ciclos de vida MLOps, monitorización de modelos y entornos cloud a gran escala.

Sería ideal si además:

Cuentas con certificaciones avanzadas en Data Quality (CDMP), AI Governance, Responsible AI o conocimientos específicos en la norma ISO/IEC 42001.

Localización: Madrid

¿Por qué unirte al equipo Moeve?
Con más de 10.000 trabajadores, presencia internacional y casi 100 años de historia, en Moeve lideramos la transición energética para un mundo mejor. Nuestro objetivo es el de cuidar de las personas y el planeta, empezando por las personas que forman el equipo Moeve. Abre una nueva puerta.

Tu primer día empieza aquí.

Da el paso hoy

Moeve vela siempre por la igualdad de oportunidades, identificando y desarrollando todo el potencial de las personas basándose exclusivamente en sus capacidades para el desempeño de sus funciones y en la no discriminación por razón de orientación e identidad sexual, expresión de género o características sexuales, así como respecto de las demás dimensiones de la diversidad.