Description

You will build a centralized Enterprise AI Risk Management System to meet regulatory and internal governance requirements.

Responsibilities

• Translate evolving AI regulatory requirements and internal governance standards into business requirements documents (BRD) and system designs.
• Collaborate with subject matter experts to incorporate risk management throughout the AI lifecycle, including initiation, development, validation, deployment, monitoring, and retirement.
• Drive project execution by working with data science, engineering, and product teams to ensure BRD compliance and testing accuracy.
• Oversee phased delivery of architecture design, global AI inventory maintenance, and AI/model governance functions such as model submission and use case assessment.
• Manage tracking and reporting functions for data, privacy, security, and intellectual property assessments.

Required Skills

• 5+ years of experience in systems analysis or related roles.
• Experience with enterprise systems.
• Deep understanding of AI/model lifecycle risk management.
• Knowledge of machine learning features and data.
• Ability to manage AI inventory creation and model governance functions.
• Experience documenting business requirements for complex regulatory environments.

Preferred Skills

• Bachelor's degree or equivalent experience.

Key Skills

Education

Any Graduate