Primary Responsibilities:
AI Project Execution & Delivery:
• Lead the end-to-end execution of high-priority AI/ML projects, ensuring they are delivered on time, within budget, and to the highest technical standards.
• Translate the enterprise AI strategy and product roadmaps into detailed project plans, technical specifications, and actionable backlogs for engineering teams.
• Serve as the primary technical point of contact for project stakeholders, managing dependencies, mitigating risks, and communicating progress effectively.
AI Governance & AIRB Facilitation:
• Manage the day-to-day operations of the AI Review Board (AIRB) submission process, acting as a hands-on guide for Data Science and product teams.
• Facilitate the preparation of all required documentation for AIRB reviews, ensuring submissions are complete, clear, and proactively address potential ethical, compliance, and technical concerns.
• Implement and enforce the governance framework, ensuring teams adhere to established standards and best practices for responsible AI.
Team Leadership & Technical Mentorship:
• Provide direct line management, technical leadership, and mentorship to a team of senior AI/ML Engineers and Data Scientists.
• Foster a culture of engineering excellence, collaboration, and continuous improvement within the team and enterprise.
• Conduct code reviews, design sessions, and technical deep dives to ensure the quality, scalability, and robustness of AI solutions.
Hands-on MLOps & Engineering Practice: