Define the vision, strategy, and execution of AI-driven products that deliver significant business value and a competitive advantage for the bank.
Requirements
- Strong understanding of core AI/ML concepts, the AI ecosystem (LLMs, vector databases, orchestration frameworks), ML principles, and cloud AI platforms (AWS, Azure, Google Cloud).
- Experience in requirements capture, analysis techniques and process improvement approaches.
- RPA, ML or AI experience preferred.
Responsibilities
- Define the long-term vision and roadmap for AI products, identifying high-value opportunities where AI can solve specific customer problems, for both internal and external clients, better than traditional methods.
- Translate complex AI/ML concepts and data science findings into clear, actionable product requirements and user stories for development teams, while also explaining technical constraints and trade-offs to non-technical stakeholders.
- Partner with our IT Head of Data on our data lifecycle, including defining data needs, ensuring data quality, and implementing robust data pipelines for model training and continuous improvement.
- Define and track success metrics: both product outcomes (engagement, revenue) and model performance metrics (precision, recall, latency), using experimentation to iterate our products.
- Ensure all AI products comply with legal, ethical, and privacy standards, actively addressing potential biases, safety concerns, and establishing clear human-override paths or fallback mechanisms for when models underperform.
- Develop and execute go-to-market plans in collaboration with sales and marketing teams to drive awareness, adoption, and revenue growth for new AI features or products.
- Continued responsibility for automation quality and all data and products associated with the bank’s Intelligent Automation solutions.
Other
- Regular and predictable attendance is an essential requirement of the position.
- Responsible for the completion of all compliance training related to the position.
- Understand all applicable laws and regulations that apply to the position and comply with the requirements.
- Minimal or occasional travel for meetings, projects or training as needed.
- A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative or business field is typically required or preferred.
