LUZA Group
Lead AI Governance Consultant
About this role
Luza is an all-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans all around the world, making change, from the inside to the outside. We believe that technology + human kindness positively impacts every community around the world. Our approach is simple, we see a world without borders, and believe in equal opportunities. We are guided by our core principles of spreading positivity, good energy and promote equality and care for others. Our hiring process is unique! People are selected by their value, education, talent and personality. We dont present ethnicity, religion, national origin, age, gender, sexual orientation or identity. Its time to burst the bubble, and we will do it together!
What You'll do
- Lead the definition and implementation of the organization's AI Governance framework and operating model.
- Design governance structures, decision-making processes, roles, responsibilities, and oversight mechanisms for AI initiatives.
- Develop policies, standards, guidelines, and control frameworks aligned with AI Act requirements and Responsible AI principles.
- Define AI lifecycle governance models, ensuring proper controls throughout development, deployment, monitoring, and decommissioning.
- Collaborate with executive stakeholders to drive governance decisions, facilitate workshops, and establish the AI governance roadmap.
- Ensure alignment between AI Governance, Data Governance, Risk Management, and the broader corporate operating model. Who You Are:
- Bachelor's degree in Engineering, Information Systems, Management, Economics, or a related field.
- At least 5 years of experience in IT Governance projects.
- At least 2 years of experience in AI Governance initiatives.
- Proven experience defining governance frameworks, policies, standards, or operating models.
- Experience designing organizational structures, responsibilities, accountability models, and decision-making mechanisms.
- Strong knowledge of Operating Model Design, Enterprise Governance, and Governance Frameworks.
- Experience defining AI solution lifecycle governance models.
- Solid understanding of the European AI Act and its governance and compliance requirements.