AI Governance Lead for Banking Project

The AI Governance Lead for the Banking project will operate within a Hub and Spoke Model, working across various business functions to ensure the responsible, ethical, and compliant development and deployment of AI systems.

Responsibilities:

• Create a Responsible AI Plan with a supporting benefits realization plan.
• Define an AI current state assessment framework with periodic maturity checkpoints.
• Develop and maintain Responsible AI policies, standards, and procedures.
• Report to the AI Council and Focus Group forums on key activities, metrics, and insights.
• Conduct AI Safety and Ethics uplift initiatives.
• Establish a peer-review protocol for all technical documentation.
• Ensure all details of AI models and solutions are recorded in a centralized AI Inventory and Service Catalog.
• Develop an AI Risk Management Framework and oversee periodic risk assessments.
• Create and distribute the AI Acceptable Use Guide.

Qualifications:

• Bachelor's or Master’s degree in computer science, Data Science, Law, Ethics, or a related field.

• Essential Skills:

  • Technical Literacy and AI Fluency: Understanding of AI technologies, including machine learning, data science, ML ops, Gen AI, and AI frameworks.
  • Ethical AI Leadership: Commitment to responsible AI practices, ensuring fairness, transparency, and accountability.
  • Data-Driven Decision Making: Proficiency in leveraging data analytics to inform governance decisions and policies.

• Desired Skills:

  • Regulatory Compliance and AI Policy Expertise: Knowledge of relevant laws, regulations, and standards governing AI use.
  • Risk Management: Ability to identify, assess, and mitigate risks associated with AI deployment.
  • Cross-Disciplinary Collaboration: Strong communication skills to work effectively with diverse teams, including legal, technical, and business stakeholders.
  • Innovation and Agility: Capacity to adapt to rapidly evolving AI technologies and methodologies.
  • Human-Centered AI and Emotional Intelligence: Focus on user-centric design and understanding the human impact of AI systems.
  • Project Management: Skills to oversee AI projects from conception to implementation, ensuring they meet governance standards.

Experience:

• At least 10 years of experience in technology or financial services, with a minimum of 3 years in a risk or governance role.