The Role

The Manager, AI & Ethics Governance at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is used, shared, and accessed at an enterprise level. The aim is to provide transparent, robust, and ethical data practices across the enterprise to enhance the protection of our customers’ data, and the way we deliver business value. We are looking to build our delivery team with influencers, makers, creators, and industry leaders who will drive us forward.

Is this role right for you? In this role you will:

Risk Assessment & Mitigation

• Design and implement AI risk assessment frameworks tailored to various AI use cases.
• Collaborate with cross-functional teams to identify, evaluate, and mitigate risks associated with AI.
• Monitor emerging risks and update governance protocols accordingly.

Research & Thought Leadership

• Conduct in-depth research on AI governance trends, regulatory developments, and ethical considerations.
• Produce white papers, internal reports, and policy briefs to inform strategic decision-making.
• Represent the organization in external forums, working groups, and academic collaborations.

Standards Development

• Lead the drafting and refinement of internal AI governance standards, policies, and guidelines.
• Ensure alignment with global standards (e.g., ISO/IEC, NIST, OECD) and regulatory frameworks.
• Facilitate stakeholder engagement to ensure standards are practical, inclusive, and enforceable.

Stakeholder Engagement & Training

• Partner with legal, compliance, data science, and product teams to embed governance practices into workflows.
• Develop and deliver training programs on AI ethics, governance, and risk management.
• Serve as a subject matter expert and advisor to senior leadership

Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:

• A graduate degree in a relevant field such as Data Science, Artificial Intelligence, Ethics, Law, Public Policy, Computer Science, or a related discipline.
• Proven experience designing and implementing AI risk assessment frameworks across diverse use cases.
• Ability to interpret and apply global standards and regulatory frameworks to enterprise-level AI systems
• Demonstrated ability to conduct high-quality research and produce impactful policy briefs, white papers, or internal reports.
• Experience leading the development of internal standards, policies, and guidelines related to AI governance.
• Strong interpersonal skills with the ability to partner effectively across legal, compliance, data science, and product teams.
• Experience developing and delivering training programs on AI ethics, governance, and risk management.

Working Conditions/Other:

• Mix of in-office and remote work, non-standard hours are a common occurrence.