Program Manager with Cyber Security

PURVIEW; Madrid; Híbrido; EUR 80.000 - 120.000; Jornada completa

Descripción de la vacante

An established industry player is seeking a seasoned Programme Manager to spearhead the Data and AI Risk Programme. This pivotal role involves overseeing the governance of AI initiatives, ensuring compliance with global regulations, and fostering ethical AI practices. The successful candidate will bridge data science, compliance, and business units, driving responsible innovation. With a focus on risk assessment and management, this position offers an opportunity to influence enterprise strategy while managing complex programmes. Join a forward-thinking organization committed to ethical AI and make a significant impact in the realm of data governance.

Formación

• 15+ years in programme/project management with data governance and AI experience.
• Strong understanding of AI/ML risks and regulatory frameworks.

Responsabilidades

• Lead execution of the Data and AI Risk Programme, ensuring compliance and alignment.
• Collaborate with cross-functional teams to embed risk mitigation into processes.

Conocimientos

Programme Management

Data Governance

Risk Management

AI/ML Technologies

Stakeholder Engagement

Leadership

Educación

PMP Certification

Prince2 Certification

Relevant AI/ML Certifications

Descripción del empleo

Role : Programme Manager Location : Barcelona, Spain Hybrid : 3 days working from office Contract : 6 months extendable contract

Role Summary :

We are seeking an experienced GRC - 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, or healthcare is highly desirable.