JOB SUMMARY

Data Risk Management (DRM) is responsible for overseeing and challenging data management activities across the TD footprint. We act as proactive and trusted advisors to TD business lines, supporting an effective risk culture. Reporting to the VP of Data Risk Management, the Senior Manager will serve as a subject matter expert on data risk, particularly in relation to data used in AI and Analytics. This role will oversee the second line of defense for data risk in the deployment of Artificial Intelligence (AI) and analytics at TD, ensuring that use cases align with internal data risk management policies, frameworks, and standards. The Senior Manager will support the current AI landscape and evolving areas such as generative AI. This role involves direct oversight of individual use cases and collaboration with other teams within the second line of defense to identify potential risks associated with new use cases. The Senior Manager will provide guidance, support, and objective challenges to business segments and data-centric teams across TD. Additionally, this role will liaise with ORM 2A partners to conduct data risk challenges and provide input on standard ORM challenge activities.

JOB DESCRIPTION

Key responsibilities will include:

• Supporting and operationalizing the oversight and challenge coverage plan and challenge methodology in alignment with standards and industry expectations.
• Overseeing and providing effective challenges on data-related AI risks for specific business groups within the first line of defense. This includes in-depth reviews of the solutions and approaches being deployed.
• Developing procedures and testing protocols to facilitate review and challenge processes.
• Interacting with business segments, corporate functions, and data-centric teams to assess data controls and related risks.
• Building strong relationships with business segment and corporate function ORM 2A teams to integrate data risk awareness and reporting.
• Helping develop and oversee data/AI risk Key Risk Indicators (KRIs).
• Collaborating with business partners to stay informed about issues and escalate them as necessary.
• Working closely with other second line of defense functions to create a clear picture of risks associated with AI and generative AI tools. This includes executing direct accountabilities for AI risk management compared to other frameworks (e.g., model risk management, technology risk).
• Providing conclusions and input as part of various forums and working groups that assess risks of new AI solutions, including generative AI.
• Establishing ongoing reporting and monitoring of AI risks across the assigned portfolio.
• Acting as a subject matter expert and strategic advisor on data risks, specifically as they pertain to AI and analytics.
• Staying knowledgeable about emerging issues, trends, and regulatory requirements to understand their impact on TD Bank and implications for the DRM policy and framework.

JOB REQUIREMENTS

• University degree or equivalent experience; Graduate degree in a quantitative field, Computer Science, Business Administration, or related field of study preferred.
• 5+ years of experience in AI, either through education and/or direct experience
• Knowledge of data management, data governance and operational risk Working knowledge of data regulations and industry trends
• Experience in oversight and challenge activities and understanding of 3 Lines of Defense.
• Exceptional writing skills with the ability to draft superior quality reports, procedures and internal correspondence
• Strong leadership and negotiation skills with demonstrated experience in leading high performing teams.
• Demonstrated ability to work effectively in teams and in a matrix structure with multiple stakeholders at varying levels.
• Ability to operate effectively with flexibility in a fast-paced, constantly evolving team environment and competing priorities

WHO WE ARE:

TD is one of the world’s leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

• Supporting and operationalizing the oversight and challenge coverage plan and challenge methodology in alignment with standards and industry expectations.
• Overseeing and providing effective challenges on data-related AI risks for specific business groups within the first line of defense. This includes in-depth reviews of the solutions and approaches being deployed.
• Developing procedures and testing protocols to facilitate review and challenge processes.
• Interacting with business segments, corporate functions, and data-centric teams to assess data controls and related risks.
• Building strong relationships with business segment and corporate function ORM 2A teams to integrate data risk awareness and reporting.
• Helping develop and oversee data/AI risk Key Risk Indicators (KRIs).
• Collaborating with business partners to stay informed about issues and escalate them as necessary.
• Working closely with other second line of defense functions to create a clear picture of risks associated with AI and generative AI tools. This includes executing direct accountabilities for AI risk management compared to other frameworks (e.g., model risk management, technology risk).
• Providing conclusions and input as part of various forums and working groups that assess risks of new AI solutions, including generative AI.
• Establishing ongoing reporting and monitoring of AI risks across the assigned portfolio.
• Acting as a subject matter expert and strategic advisor on data risks, specifically as they pertain to AI and analytics.
• Staying knowledgeable about emerging issues, trends, and regulatory requirements to understand their impact on TD Bank and implications for the DRM policy and framework