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Program Manager

Ubique Systems

Salamanca

Presencial

EUR 80.000 - 120.000

Jornada completa

Hace 30+ días

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Descripción de la vacante

Ein etabliertes Unternehmen sucht einen erfahrenen Programmmanager, der die strategische Umsetzung des Data and AI Risk Programme leitet. Diese Schlüsselrolle beinhaltet die Identifizierung und das Management von Risiken im Zusammenhang mit Unternehmensdaten und der Nutzung von KI. Der Programmmanager wird Governance-Rahmenwerke aufbauen, die Einhaltung globaler KI-Vorschriften sicherstellen und ethische KI-Praktiken fördern. Wenn Sie über umfangreiche Erfahrung im Programmmanagement und ein tiefes Verständnis für KI-Technologien verfügen, ist dies die perfekte Gelegenheit, um einen bedeutenden Einfluss auf verantwortungsvolle Innovationen zu nehmen.

Formación

  • 15+ Jahre Erfahrung in Programm- oder Projektmanagement.
  • Nachgewiesene Erfahrung in der Verwaltung komplexer Risikoprogramme.

Responsabilidades

  • Leitung der Ausführung des Data and AI Risk Programme.
  • Entwicklung interner Richtlinien für das Management des AI-Modell-Lebenszyklus.

Conocimientos

Programm- und Projektmanagement
Datenverwaltung
Risikomanagement
AI / ML Technologien
Stakeholder-Engagement
Regulatorische Compliance

Educación

PMP-Zertifizierung
Prince2-Zertifizierung
PgMP-Zertifizierung

Descripción del empleo

We are seeking an experienced Programme Manager to lead the strategic delivery of the Data and AI Risk Programme. This is a senior-level role responsible for identifying, assessing, and managing risks associated with enterprise data and the use of artificial intelligence across business functions. The role will focus on building governance frameworks, ensuring compliance with evolving global AI regulations, and promoting ethical and secure AI practices.

This individual will act as a critical bridge between data science teams, compliance, legal, and business units to ensure responsible innovation.

Key Responsibilities :

  • Lead and govern the execution of the Data and AI Risk Programme, ensuring alignment with enterprise strategy, compliance mandates, and industry best practices.
  • Define the programme roadmap, risk frameworks, operating model, and success metrics.
  • Collaborate with cross-functional teams—Legal, Compliance, Data Science, IT Security, Regulatory Affairs—to embed AI and data risk mitigation into enterprise processes.
  • Oversee the assessment and governance of AI / ML models, ensuring transparency, fairness, explainability, and compliance with standards (e.g., EU AI Act, GDPR, ISO / IEC 23894, NIST AI RMF).
  • Develop internal policies and frameworks for AI model lifecycle management, ethical review, and risk controls.
  • Serve as the primary point of contact for regulatory discussions related to data and AI risks.
  • Provide regular reporting to executive leadership, risk committees, and relevant external bodies.
  • Lead change management, training, and internal awareness related to AI risk and governance.
  • Manage programme budgets, resources, timelines, vendors, and workstream owners.

Must-Have Skills & Experience :

  • 15+ years of experience in programme or project management, with significant exposure to data governance, risk management, and AI-related initiatives.
  • Demonstrated experience managing complex, enterprise-wide risk or transformation programmes.
  • Deep understanding of AI / ML technologies and associated risks (bias, data leakage, explainability, regulatory compliance).
  • Familiarity with regulatory frameworks such as EU AI Act, GDPR, ISO / IEC standards, NIST AI RMF, etc.
  • Excellent leadership, stakeholder engagement, and communication skills.
  • Strong risk assessment, compliance, and governance acumen.
  • PMP, Prince2, or PgMP certification preferred. Relevant AI / ML certifications or ethics training is a plus.

Preferred Attributes :

  • Strategic thinker with hands-on execution capability.
  • Comfortable operating in a matrixed, global environment.
  • High integrity and commitment to responsible AI.
  • Experience in regulated industries such as pharma, finance, or healthcare is highly desirable.

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