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