About the role
This is a senior leadership role responsible for developing and implementing ethical AI frameworks and governance within an innovation-focused group. The First VP will oversee model fairness, regulatory compliance, and the adoption of responsible AI practices across the organization.
BankingOnsite
Key Responsibilities
- Lead the design and maintenance of the Responsible AI (RAI) framework to guide the ethical development and deployment of AI solutions
- Oversee the execution of AI ethics assessments focusing on transparency, fairness, and potential bias in model outputs
- Establish governance standards for generative AI and Large Language Models (LLMs) within the Innovation Group
- Partner with legal and risk departments to interpret and apply evolving global AI regulations and guidelines
- Drive the implementation of explainable AI (XAI) methodologies across all automated decision-making systems
- Monitor and report on the compliance of AI projects with established ethical standards and corporate policies
- Act as a subject matter expert for the Innovation Group on matters relating to algorithmic accountability and data ethics
- Collaborate with data engineering and MLOps teams to integrate responsible AI checkpoints into the CI/CD pipeline
Requirements
- Minimum of 10 years of professional experience in AI/ML, data ethics, or technology risk management
- Advanced degree (Masters or PhD) in a technical field such as Data Science, AI, Engineering, or Technology Ethics
- Deep technical knowledge of machine learning lifecycles and the mathematical foundations of AI models
- Demonstrated experience in applying AI fairness and explainability toolkits like Fairlearn or SHAP
- Strong understanding of global AI regulatory landscapes, including MAS FEAT principles or the EU AI Act
- Experience in policy development and organizational change management within a high-tech context
- Exceptional stakeholder management skills with the ability to communicate technical risks to non-technical executives
- Professional certification in data privacy or AI governance is highly preferred
- Proficiency in Python and familiarity with modern MLOps environments
- Proven track record of leading cross-functional projects in a complex corporate environment