Remote Senior AI Governance Leader

Remote Jobs; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work whenever possible

Equipment provided

Benefits plan

Career development opportunities

Job summary

Luza is seeking a Senior AI Governance Lead to define and implement the organization's AI governance framework and operating model. You will partner with executives to shape policies, standards, and controls across AI initiatives.

In this role, you will ensure alignment with Responsible AI principles, AI Act requirements, and data governance, while designing decision rights and lifecycle governance for AI solutions.

Qualifications

• Bachelor's degree in a technical or business field.
• At least 5 years of IT governance project experience.
• At least 2 years in AI governance initiatives.
• Experience defining governance frameworks and operating models.
• Strong knowledge of AI lifecycle governance and data governance.

Responsibilities

• Define AI governance framework and operating model.
• Design governance structures, roles and decision rights.
• Develop policies, standards and control frameworks aligned with AI Act.
• Define AI lifecycle governance across development, deployment, monitoring, and decommissioning.
• Collaborate with executives to drive governance roadmap and workshops.
• Ensure alignment with Data Governance, Risk Management and the broader operating model.

Skills

AI Governance

Governance frameworks

Operating model design

Executive workshop facilitation

Stakeholder management

Data governance

Policy design

Communication skills

Education

Bachelor's degree in Engineering, Information Systems, Management, Economics, or a related field

Job description

Luza is seeking a Senior AI Governance Lead to define and implement the organization's AI governance framework and operating model. You will partner with executives to shape policies, standards, and controls across AI initiatives.

In this role, you will ensure alignment with Responsible AI principles, AI Act requirements, and data governance, while designing decision rights and lifecycle governance for AI solutions.