2LOD Director of AI Risk Oversight & Governance (US)

TD•Boston, MA

22h•$148,720 - $240,240•Onsite

About The Position

The Director is responsible for leading and imposing the framework for responsible, secure, compliant, and effective use of artificial intelligence. The role provides executive level oversight of AI strategy, risk management, governance, and operational controls while enabling segment teams to adopt AI responsibly and at scale. Partner with and develop strong relationships with all stakeholders including senior leadership, Segment Risk, Specialty Risk, Technology, Legal, Compliance, Cybersecurity, Privacy, Risk, Data, Vendor and Business stakeholders to ensure AI initiatives align with organizational objectives, regulatory requirements, ethical standards, and risk tolerance. Maintains policy and other governance documentation; facilitates US AI Governance Risk Committee with the Chair, establishes AI control inventory. Monitors higher risk AI applications/models/use cases, emerging AI legislation, regulations, standards, and industry expectations. Measures and monitors success and operating metrics, issues, remediation progress, and key risk indicators. Escalates when necessary through established channels. Develops 2LOD AI use cases and develops or obtains training and awareness programs for employees, executives, and business users. Supports regulatory exams, internal audits, external assessments, and executive reporting relating to AI.

Requirements

Bachelors degree or progressive work experience in addition to experience below
10+ years related experience required
Expert knowledge at the enterprise or group business level requiring a broad managerial and deep specialized knowledge of operational risk management issues at the enterprise, business, regulatory and industry levels
Previous management experience
Ability to coach, counsel, train, and lead staff
Strong attention to detail with the ability to recognize and react to discrepancies
Strong interpersonal skills including demonstrated conflict management and negotiation skills
Proven project management skills for multiple, large projects
Strategic planning and process management experience a must
Proven experience in establishing and implementing effective strategies and short and long range plans that achieve bottom line results
In depth knowledge of financial services processes and workflows
Strong relationship building skills and the ability to develop and maintain business contacts at all levels of management throughout the organization
Excellent communications skills both written and verbal as well as the ability to develop business communications calling for specific action
Effective presentation skills, including the ability to present to regulators, executive management and the Board of Directors
Strong ability to influence the decisions and actions of others without express authority
Strong ability to analyze information and business situations and effectively collaborate with business partners on overall corporate direction
Travel may be required

Nice To Haves

8+ years of experience in technology, AI/ML, risk management, governance, compliance, cybersecurity, privacy, data, audit, or a related discipline.
Strong understanding of AI/ML technologies, generative AI, Model Risk, data governance, and AI lifecycle management.
5+ years of experience leading company-wide programs or teams.
Strong judgement, Strategic Thinking and demonstrated experience developing governance, risk, compliance, or oversight frameworks.
Experience leading responsible Ai, AI governance, model risk, or enterprise AI oversight programs
Familiarity with major AI governance and risk management frameworks including NIST AI RMF, model risk management standards, and emerging AI regulations
Experience working with executive committees, Boards, regulators, auditors, or other external stakeholders.
Professional certifications in risk, compliance, audit, cybersecurity, privacy, or AI governance.

Responsibilities

Provides a broad range of risk analysis, reporting and/or support to business partners and acts as a specialist/expert in providing guidance/advice on a range of risk related matters within assigned or own area of specialization.
Acts as the primary regulatory interface on risk issues and requirements for a key business segment of the Bank and assesses and provides direction for existing and new regulations.
Compiles reports on overall business trends, risks, losses, and issues on aggregated basis and recommends management action to minimize risk exposures.
Develops and maintains comprehensive knowledge of Company and business unit objectives and strategic project goals in order to deliver the most effective solutions to Customers, aligned with TD Bank's Operational Risk appetite.
Leads the development and/or implementation of specific standards, policies, and/or processes that identify, report on and mitigate major operational risk exposures within the business, including responses to regulatory requirements.
Analyzes potential risks and ensure escalation of key risks to appropriate areas and/or business leaders.
Establishes and provides on-going analysis and reporting on operational risk and/or other major risk categories as applicable to the business or functional area, and review findings and action plans with business leaders to mitigate and manage key issues.
Coordinates and/or guides activities relating to core operational risk disciplines/programs including, but not limited to, Risk & Control Self Assessments (RCSA), Business Continuity Management (BCM), Outsourcing & Vendor Management. Regulatory Compliance, Affiliate Transaction Governance (e.g. CDIC, AML, Privacy, IDA, CBA, SOX, Basel, etc.).
Supports established enterprise-wide risk escalation, review and approval processes, data management, policies and risk assessment processes.
Directs the development and monitoring of key risk indicators and facilitate communication and resolution of cross business risk issues among other business segments where applicable.
Provides insight and guidance to business unit senior and executive management on the identification of major risk drivers and key risk indicators.
Protects TD Bank's interests by keeping abreast of business trends, risk management issues, and by maintaining a good knowledge of existing and emerging risk issues across the business.
Develops and maintains a good understanding of the regulatory landscape and relevant requirements for the business, ensuring key risk issues are identified, requirements interpreted and articulated to appropriate business units/functional areas.
Represents the business or functional area on various risk management committees or working groups by presenting business or functional level issues and concerns.
Builds awareness of key risk issues, drivers and mitigates by educating business leaders/management and providing training to broader groups as necessary.
Contributes to the development of executive level tools and/or comprehensive risk capital frameworks for the management of key risks.
Advances the practice of risk management in the business or corporate functional support areas through contributions to TD Bank's enterprise-wide risk strategy and corporate Operational Risk Management requirements.
Develops and fosters strong relationships with business unit management to improve the understanding and communication of business-specific operational risk and/or other key risk management issues.
Prepares board and executive management reporting, facilitate or contribute to meetings involving a range of stakeholders and senior management of TD Bank.
Leads and imposes the framework for responsible, secure, compliant, and effective use of artificial intelligence.
Provides executive level oversight of AI strategy, risk management, governance, and operational controls while enabling segment teams to adopt AI responsibly and at scale.
Partners with and develops strong relationships with all stakeholders including senior leadership, Segment Risk, Specialty Risk, Technology, Legal, Compliance, Cybersecurity, Privacy, Risk, Data, Vendor and Business stakeholders to ensure AI initiatives align with organizational objectives, regulatory requirements, ethical standards, and risk tolerance.
Maintains policy and other governance documentation.
Facilitates US AI Governance Risk Committee with the Chair.
Establishes AI control inventory.
Monitors higher risk AI applications/models/use cases, emerging AI legislation, regulations, standards, and industry expectations.
Measures and monitors success and operating metrics, issues, remediation progress, and key risk indicators.
Escalates when necessary through established channels.
Develops 2LOD AI use cases.
Develops or obtains training and awareness programs for employees, executives, and business users.
Supports regulatory exams, internal audits, external assessments, and executive reporting relating to AI.