Evaluate and assess AI solutions to confirm compliance with governance standards
Lead initiatives for managing AI/ML controls across diverse teams
Enhance transparency and reporting processes within AI projects
Collaborate with stakeholders to develop innovative thought leadership
Analyze and interpret data to inform governance strategies
Provide guidance on recommended practices for AI compliance
Support the implementation of impactful reporting frameworks
Drive continuous improvement in AI governance practices

Bachelor's Degree
At least 2 years of experience
Bachelor's Degree in Statistics, Management Information Systems & Accounting, Accounting & Technology, Business Administration/Management, Regulatory Compliance, Physics, Economics and Finance & Technology, Computer Science, Data Processing/Analytics/Science, or Mathematics preferred
Experience in AI/ML model and testing and validation, risk management, controls testing, or audit related to AI, analytics, or information systems, governance or compliance roles focused on AI, emerging technology, or digital systems
Experience with model evaluation frameworks and testing protocols
Familiarity with data science and AI lifecycle
Understanding of data governance and model deployment disciplines
Leading AI/ML and emerging technology control efforts
Coaching teams on emerging data technologies
Translating technical concepts for non-technical stakeholders
Subject matter knowledge to support thought leadership

AI Engineer / Data Scientist, Senior Associate

Key skills