AI Governance Officer (Responsible AI)

Summary:

• Functional area: Responsible AI
• The AI Governance Office is responsible for establishing and

maintaining robust governance frameworks, policies, and procedures

to guide the development, deployment, and monitoring of AI

initiatives.

Responsibilities:

• Design Framework for Responsible Practice: Lead the development of a framework for responsible AI practice within the organization, encompassing principles, guidelines and best practices for ethical, transparent and accountable AI solutions development and deployment
• Project Oversight and Quality Assurance: Provide oversight and quality assurance on AI solutions and products throughout the development lifecycle, ensuring adherence to responsible AI principles and compliance with regulatory requirements, industry standards, and organizational policies
• Mitigation Planning for Potential AI Incidents: Identify and assess potential risks and biases associated with AI solutions and develop mitigation plans to address them, including fairness-aware model training, bias detection and transparency measures.
• Ethical AI Education and Training: Educate and train AI ML COE members and stakeholders on ethical AI principles, responsible AI practices and the potential impacts of AI technologies on society.
• Stakeholder Engagement and Collaboration: Engage with internal and external stakeholders, including data scientists, engineers, legal experts, and regulators to collaborate on responsible AI initiatives and industry-wide efforts.

Requirements:

• Bachelor’s degree in computer science, ethics, law or related field.
• Strong understanding of ethical principles, regulatory requirements and societal implications of AI technologies, with knowledge of emerging standards and best practices in responsible AI.
• Familiarity with regulatory requirements and ethical guidelines related to AI and machine learning.
• Proven experience in a relevant role within the banking or financial services sector, such as compliance, risk management, or data governance.
• Proficiency in risk assessment methodologies and experience in identifying and mitigating risks associated with AI and machine learning applications in financial services.

Tools:

• Proficiency in AI governance tools such as IBM OpenPages, SAS
• Governance and Compliance Manager, or similar platforms.
• Familiarity with data management and governance tools such as Collibra or Informatica.

Perks & Benefits

• Employee equity
• Central location
• Regular team activities
• Medical insurance
• Personal leave
• Open culture
• Paid training and development