AI & Data Quality

AI & Data Quality

Cepsa
Cepsa
Madrid, SpainCompetitiveOn-siteAdded todaySenior · 8-10 years🇬🇧English: Required

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About the role

Every day can be your first day

What the role involves

Working within the Technology, Projects and Services area, you will be responsible for leading, defining and ensuring corporate-wide quality, reliability, integrity, traceability and fitness for use of Moeve's data and Artificial Intelligence systems, ensuring 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, maximising their strategic value and minimising operational, financial, regulatory and reputational risks.

What you'll do

Some of your main responsibilities will be

  • Define and lead the corporate framework for Data Quality and AI Quality, 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, analytics platforms and AI systems across the company.
  • Ensure end-to-end quality of data and AI models throughout their entire lifecycle: capture, processing, training, validation, deployment, monitoring and retirement.
  • Define and oversee quality, robustness, explainability, fairness, stability and performance criteria for AI models in production, with technical authority to validate or block their go-live.
  • Design and implement advanced mechanisms for continuous monitoring of data and models (data observability, model monitoring, drift, degradation, bias and emerging risks).
  • Lead corporate management of critical data and AI quality incidents, coordinating remediation plans with business, technology and operations.
  • Act as the second line of technical defence for risks associated with data and AI, working closely with Legal, Compliance, DPO, Information Security and Internal Audit.
  • Prepare, coordinate and support 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 tooling ecosystem, defining corporate technology standards.
  • Promote a corporate culture of quality, responsibility and excellence in the use of data and AI through training, awareness and business support.

What we're looking for

Who we are looking for

  • Education: Engineering, Computer Science, Mathematics, Statistics, Data Science or equivalent qualifications.
  • Languages: advanced English (minimum B2)
  • Experience: At least 8-10 years of professional career in advanced data, AI, data governance or technology risk management environments in complex organisations.
  • You have deep knowledge of data platforms, Data Quality frameworks, MLOps lifecycles, model monitoring and large-scale cloud environments.

Nice to have

It would also be ideal if:

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

How you'll work

Location: Madrid

On-site

About the company & team

Why join the Moeve team?

With more than 10,000 employees, international presence and almost 100 years of history, at Moeve we lead the energy transition for a better world. Our goal is to care for 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

Additional information

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

This job was automatically translated to English, .

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