Work Location:
Toronto, Ontario, Canada
Hours
37.5
Line Of Business
TD General
Pay Details
$96,900 - $136,800 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
A preferred candidate has been identified.
This people leader role leads the development and integration of AWS-based AI capabilities, workforce insights, and analytics across the Workforce Management (WFM) ecosystem. The team will translate WFM data and operational needs into practical AI-enabled capabilities, performance insights, and decision support that improve how WFM and business teams plan, manage, and optimize the workforce.
The role owns the WFM data and insights pipeline, including how workforce data is sourced, connected, governed, transformed, and made available for reporting, analytics, AI use cases, and performance management. The focus is not solely on technical data integration, but on integrating insights across WFM platforms and enterprise data sources to create a consistent view of workforce performance and enable measurable business outcomes.
The successful candidate will combine people leadership, strong WFM platform knowledge,



analytics expertise, and hands‑on experience with AWS AI capabilities. They will bridge WFM, business, data, and technology teams to move opportunities from concept to operational use, while ensuring solutions and insights are scalable, reliable, well governed, and adopted across the function.
As part of Enterprise WFM, the successful applicant will build and lead a high‑performing team, establish standards for WFM data and insights, and advance the practical adoption of AWS-based AI, advanced analytics, and automation. External experience applying AI and analytics in operational environments will be highly valued.
CUSTOMER
Partner with WFM, business, data, and technology teams to identify, prioritize, and operationalize AWS AI‑enabled capabilities and workforce analytics use cases
Translate workforce data and operational challenges into actionable insights, performance measures, AI capabilities, and decision‑support solutions
Lead the integration of insights across WFM platforms, AWS capabilities, and enterprise data sources to provide a consistent view of workforce performance
Ensure insights and AI‑enabled capabilities are practical, trusted, clearly understood, and embedded into day‑to‑day planning and operational decision‑making
Provide subject matter expertise on WFM platforms, workforce data, analytics, performance measurement, and AI capability enablement




Maintain awareness of emerging AWS AI and analytics capabilities and assess their practical application within WFM
SHAREHOLDER
Own and advance the WFM AI, insights, and analytics roadmap, with a strong emphasis on AWS‑based capabilities and measurable business outcomes
Own the WFM data and insights pipeline, including data sourcing, connectivity, quality, governance, transformation, and availability for reporting, analytics, and AI use cases
Establish consistent WFM performance measures, data definitions, and insight standards across the function
Ensure AI and analytics solutions are scalable, reliable, secure, cost‑effective, and aligned with technology and data governance requirements
Manage risks related to data quality, model and insight reliability, cloud implementation, privacy, and operational impact
Partner with Technology, Data, HR, Finance, and Operations to align priorities and deliver AWS AI‑enabled use cases and workforce insights
Identify opportunities to improve productivity, reduce manual effort, strengthen performance management, and enable faster decisions through AI, automation, and analytics
EMPLOYEE / TEAM
Lead, coach, and develop a team accountable for WFM AI capabilities, workforce insights, analytics, and the WFM data pipeline
Set clear accountabilities, priorities, and performance expectations, and create an environment of ownership, collaboration, and continuous improvement
Build team capability in AWS AI, WFM platforms, workforce analytics, data management, and insight storytelling
Attract, develop, and retain talent with the technical, analytical, and operational skills required to advance the WFM strategy
Promote solid partnerships and knowledg

📌 Manager, wfm ai capabilities, insights (Toronto)
🏢 Anonymous
📍 Toronto