Director, AI Governance, TDS Governance & Control

Work Location :

New York, New York, United States of America

Hours:

40

Line of Business:

Governance & Control

Pay Detail:

$170,000 - $225,000 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate’s skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Preferred Qualifications:

TD Securities is seeking a Director, AI Governance to lead the operation of its first-line AI Governance function. This role will play a critical leadership position within the TDS AI Office, responsible for governing the adoption and use of Artificial Intelligence across TD Securities while enabling innovation in a controlled, risk-based manner.

The Director will oversee AI governance processes including intake, review and challenge, risk assessment coordination, approvals, monitoring, issue management, and lifecycle oversight. The successful candidate will work closely with Front Office, Technology, Enterprise AI Office, Risk, Compliance, Privacy, Legal, Cybersecurity, and Internal Audit stakeholders to ensure AI use cases are implemented in alignment with internal governance requirements and evolving regulatory expectations.

This role is ideally suited to an experienced governance leader with direct AI governance experience, strong capital markets knowledge, and a proven ability to influence senior stakeholders across business and technology organizations.

Key Responsibilities

AI Governance & Oversight

• Lead the operation of the TD Securities AI Governance function.
• Coordinate governance reviews, challenge activities, risk assessments, approvals, and escalation processes.
• Ensure AI use cases satisfy governance, control, documentation, testing, and approval requirements prior to deployment.
• Maintain oversight of AI-related risks, issues, exceptions, remediation activities, and approval conditions.

Risk, Regulatory & Audit Engagement

• Monitor emerging AI governance requirements, industry developments, regulatory expectations, and best practices.
• Translate regulatory and enterprise requirements into practical governance expectations for TD Securities.

Governance Frameworks & Standards

• Maintain and evolve AI governance standards, procedures, and supporting controls.
• Support development of AI risk taxonomies, control requirements, governance metrics, and reporting. Drive continuous improvement of AI governance processes

Stakeholder Management & Influence

• Build strong working relationships across Front Office, Technology, Risk, Compliance, Legal, Privacy, Cybersecurity, and Audit functions.

Communicate governance risks, recommendations, and decisions clearly to senior leaders.

Required Qualifications

Bachelor’s degree in Business, Technology, Engineering, Finance, Mathematics, or a related discipline.

Significant experience within Capital Markets, Investment Banking, or Securities markets.

Direct experience leading or operating AI Governance, Responsible AI, AI Risk, or equivalent AI oversight programs.

Experience supporting audit engagements, regulatory reviews, issue remediation programs, and evidence-based governance processes.

Strong understanding of governance operating models, approvals, oversight, challenge, escalation, and risk management practices.

Exceptional written and verbal communication skills, including interaction with senior business and technology leaders.

Preferred Qualifications

Experience governing Generative AI, Large Language Models (LLMs), agentic AI solutions, or other emerging AI technologies.

Knowledge of AI governance frameworks, Responsible AI practices, and emerging AI regulations.

Experience within Model Risk, Front Office Technology, or Quantitative Platforms.

Experience leading small teams and operating through matrixed organizations.

What Success Looks Like

Within the first 12–18 months, …