AI Governance and Risk Specialist

Position Summary:

Within the Enterprise AI Center of Excellence (AI COE), the AI Governance and Risk Specialist is responsible for assisting with the design and implementation of the AI governance framework for TIAA and its affiliates. This AI Governance and Risk Specialist is required to partner with stakeholders across disciplines to design and deliver process, procedures, and control improvements that enable TIAA to leverage AI responsibly to drive business value and adoption.

In this role, the AI Governance and Risk Specialist will be responsible for participating in the design and deployment of the AI governance framework, including Responsible AI Policy, Standards, Standard Operating Procedures (SOPs), and guidelines. The individual will participate in the resolution of process gaps and design solutions to problems that prevent TIAA from enabling AI solutions at scale. The AI Governance and Risk Specialist will play a key role in ensuring submitted use cases adhere to Responsible AI requirements and that necessary control partners are engaged to review.

Key Duties & Responsibilities:

List up to 5 key duties and responsibilities, management responsibilities and time spent (if applicable)

• Participate in development and implementation of AI governance framework.
• Participate in the design and implementation of controls to address AI risk
• Facilitate risk assessments for AI engagements to the Responsible use of AI capabilities.
• Collaborate with cross-functional teams to integrate AI governance principles in existing processes and procedures.
• Stay abreast of global AI governance trends, regulations, and best practices.
• Provide training, guidance, and communications to staff on AI governance matters.
• Maintain AI COE process and procedure documentation

Preferred Candidate Profile:

• Relevant work experience: 5-7+ Years
• Team Player ability to work in global team environment.
• Collaboration skills with business-driven team, business development and Stakeholder
• Strong Strategy/Vision driven approaches
• Effective communication skills
• Extensive experience in executing AI/ML projects successfully
• Strong technical writing skills.
• Strong Interpersonal & Communication skills.
• Exposure to Agile.
• Experience in using Jira.
• Exposure to Analytics platforms.