Data and Artificial Intelligence Governance Lead

argenx is a global immunology company committed to improving the lives of people suffering from severe autoimmune diseases and cancer. Partnering with leading academic researchers through its Immunology Innovation Program (IIP), argenx is translating immunology breakthroughs into a world-class portfolio of novel antibody-based medicines. argenx’s first experimental medicine, efgartigimod, is being evaluated in multiple autoimmune diseases, including myasthenia gravis (MG), immune thrombocytopenia (ITP), and chronic inflammatory demyelinating polyneuropathy (CIDP). argenx is located in Ghent, Belgium, Boston, Massachusetts and Tokyo, Japan.

We are seeking a highly skilled and experienced Data and Artificial Intelligence Governance Lead to join our team. The ideal candidate will be responsible for strategizing and implementing relevant governance frameworks, policies, and procedures to ensure the integrity, security, and effective use of data and AI solutions in the Discovery, Development and Quality (DDQ) organizations, in close collaboration with other areas.

Key Responsibilities

• Develop and implement a federated Governance Frameworks to ensure:
• Adoption of the FAIR principles in a Data Mesh model: Design and establish data governance frameworks, including policies, standards, and procedures to ensure data quality, integrity, and security.
• Company wide applicable frameworks for responsible & ethical use of AI
• Stewardship:
• Define data stewardship activities with business functions and data owners, ensuring data is managed and used in compliance with regulatory requirements and best practices.
• Define engagement policies to enable AI solutions use in compliance with applicable regulations
• Data/AI Governance Ecosystem: oversee the implementation of data/AI governance capabilities including data catalogue, master data management, and data observability in the DDQ space.
• Collaboration: Work closely with data owners, IT, and business units to ensure policies are understood and adhered to and facilitate the adoption of the framework in a federated organization. Assure AI solutions respect data governance policies
• Data/AI Quality Management: Implement and monitor quality metrics, and work with stakeholders to resolve data quality issues.
• Training and Awareness: Develop and deliver training programs to promote data/AI governance awareness and best practices across the organization.
• Compliance: Ensure compliance with data protection regulations and industry standards.
• Reporting: Provide regular reports on data governance activities, data quality metrics, and compliance status to senior management.
• Data/AI maturity: Establish and maintain a data maturity assessment and develop the roadmap to enhance maturity in the DDQ space.
  
  
  

Qualifications

• Education: Master’s degree in Information Management, Computer Science, or a related field.
• Experience: Minimum of 5 years of experience in data and AI governance, data management, or a related field in the life science industry.
• Skills:
• Strong understanding of data governance frameworks and best practices.
• Excellent communication and collaboration skills.
• Experience with data management tools and techniques.
• Knowledge of regulations (e.g., GDPR, CCPA, EU AI Act, …).
• Strong analytical and problem-solving skills.
  
  
  

Offer

• A competitive salary package with extensive benefits
• Front seat in the development of therapeutic antibodies
• A work environment in a human-sized, dynamic and rapidly growing biotech company