Work Location:
Toronto, Ontario, Canada
Hours:
37.5
Line of Business:
Analytics, Insights, & Artificial Intelligence
Pay Details:
96,900 - 115,200 CAD
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:
Position Overview
The Data Scientist III serves as the governance and portfolio enablement lead for Canadian Personal Banking Analytics, Insights & AI, providing first-line oversight of a large portfolio of AI, machine learning, and advanced analytics initiatives. The role is responsible for operationalizing AI governance standards, driving lifecycle progression, coordinating risk and control activities, and delivering portfolio transparency to leadership.
Acting as a central point of coordination across business, technology, model development, data, risk, compliance, and governance teams, this role ensures AI initiatives progress efficiently through governance requirements while supporting responsible and scalable AI adoption across the organization.
Primary Responsibilities
Portfolio Governance & Lifecycle Management
- Lead governance oversight for a portfolio of AI and analytics models.
- Facilitate portfolio prioritization discussions and governance planning activities.
- Monitor lifecycle progression, governance readiness, dependencies, risks, and milestones across initiatives.
- Escalate issues impacting delivery timelines, governance reviews, or go-live readiness.
- Provide portfolio-level visibility supporting leadership decision making.
Compliance with Enterprise AI Standards and Risk policy / framework
- Translate enterprise AI Governance and Risk Management requirements into operational processes and guidance.
- Support implementation of AI Intake and governance pathways.
- Partner with Model Risk Management, Compliance, Cybersecurity, Data Governance, and other control functions to ensure appropriate governance requirements are met.
- Identify opportunities to simplify and scale governance processes while maintaining control effectiveness.
- Coordinate across stakeholder groups to remove governance roadblocks and accelerate lifecycle progression.
- Facilitate governance discussions among business owners, model developers, risk partners, and senior leadership.
- Influence outcomes and build alignment without formal authority.
- Support enterprise initiatives involving AI governance, data governance, cloud migration, and transformation activities.
Governance Analytics & Reporting
- Design and maintain governance dashboards and reporting solutions.
- Develop Power BI reporting and governance visualizations supporting portfolio management and executive oversight.
- Produce executive-level updates highlighting priorities, risks, issues, capacity concerns, and governance trends.
Training, Communications & Change Management
- Develop governance communications and practitioner guidance materials.
- Deliver awareness sessions, training, office hours, and enablement activities for AI practitioners.
- Support adoption of new governance frameworks, standards, and operating models.
AI Assisted Productivity Improvement
- Promote responsible use of AI assistants to streamline recurring governance, reporting, documentation, and coordination activities.
- Identify opportunities to automate manual steps, reduce turnaround times, and improve consistency of stakeholder communications and portfolio updates.
- Support adoption of AI-enabled productivity tools while aligning to enterprise standards, data handling expectations, and human oversight.
Critical Success Factors
- Maintain a comprehensive view of the AI portfolio and governance landscape.
- Build strong relationships with business, technology, governance, and risk partners.
- Anticipate governance bottlenecks before they impact delivery.
- Influence decisions without direct authority.
- Translate complex governance requirements into practical business processes.
- Deliver actionable insights through analytics and executive reporting.
- Drive continuous improvement and operational excellence within governance processes.
Why This Role Exists
This role exists to ensure AI and analytics initiatives can scale responsibly while maintaining alignment to governance, risk, and control requirements. The position serves as the connective tissue between AI delivery teams and governance stakeholders, providing the operating discipline, transparency, and coordination required to manage a growing portfolio of AI assets effectively.
Language Requirement (Quebec only):
Sans Objet
