Work Location:Toronto, Ontario, CanadaHours37.5Line Of BusinessTD GeneralPay 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 DescriptionA 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.CUSTOMERPartner with WFM, business, data, and technology teams to identify, prioritize,



and operationalize AWS AI‑enabled capabilities and workforce analytics use casesTranslate workforce data and operational challenges into actionable insights, performance measures, AI capabilities, and decision‑support solutionsLead the integration of insights across WFM platforms, AWS capabilities, and enterprise data sources to provide a consistent view of workforce performanceEnsure insights and AI‑enabled capabilities are practical, trusted, clearly understood, and embedded into day‑to‑day planning and operational decision‑makingProvide subject matter expertise on WFM platforms, workforce data, analytics, performance measurement, and AI capability enablementMaintain awareness of emerging AWS AI and analytics capabilities and assess their practical application within WFMSHAREHOLDEROwn and advance the WFM AI, insights, and analytics roadmap, with a solid emphasis on AWS‑based capabilities and measurable business outcomesOwn the WFM data and insights pipeline, including data sourcing, connectivity, quality, governance, transformation, and availability for reporting, analytics, and AI use casesEstablish consistent WFM performance measures, data definitions, and insight standards across the functionEnsure AI and analytics solutions are scalable, reliable, secure, cost‑effective, and aligned with technology and data governance requirementsManage risks related to data quality, model and insight reliability, cloud implementation, privacy, and operational impactPartner with Technology, Data, HR, Finance, and Operations to align priorities and deliver AWS AI‑enabled use cases and workforce insightsIdentify opportunities to improve productivity, reduce manual effort, strengthen performance management, and enable faster decisions through AI, automation, and analyticsEMPLOYEE / TEAMLead, coach, and develop a team accountable for WFM AI capabilities, workforce insights, analytics, and the WFM data pipelineSet clear accountabilities, priorities, and performance expectations, and create an environment of ownership, collaboration, and continuous improvementBuild team capability in AWS AI, WFM platforms, workforce analytics, data management,



and insight storytellingAttract, develop, and retain talent with the technical, analytical, and operational skills required to advance the WFM strategyPromote strong partnerships and knowledge sharing across WFM, business, data, and technology teamsFoster a culture that balances innovation and pace with disciplined governance, quality, and responsible AI practicesBREADTH & DEPTHStrong understanding of WFM platforms, workforce data, operational performance measures, and contact centre environmentsHands‑on experience shaping and operationalizing AWS‑based AI, analytics, or automation capabilitiesExperience leading workforce insights and analytics, including the connection of data across multiple platforms and enterprise sourcesUnderstanding of data pipelines, data quality, governance, cloud connectivity, APIs, and how data supports reporting, analytics, and AI use casesAbility to move between people leadership, strategic planning, stakeholder management, and practical executionWorks across multiple systems, business units, and stakeholder groups to align priorities and drive measurable outcomesInfluences technology, data, and operational decisions through strong WFM knowledge and evidence‑based insightsExperience And / Or EducationUndergraduate degree or equivalent experience5+ years of experience in WFM technology, workforce analytics, AI enablement, data and insights, or a related fieldPeople leadership experience, including coaching, performance management, talent development, and leading delivery through a teamHands‑on experience with AWS AI capabilities, cloud‑based analytics, or AWS‑related contact centre technologiesExperience with WFM platforms such as NICE, Verint, Amazon Connect, or comparable enterprise workforce technologiesExperience developing workforce insights, performance reporting, analytics products, or decision‑support capabilitiesKnowledge of WFM data pipelines, data models, APIs, cloud connectivity, data quality, governance, and system architectureExperience with SQL and/or Python is a strong assetStrong understanding of contact centre and workforce management processes, measures, and operational decision‑makingExternal experience implementing AI, analytics, or cloud capabilities in production environments is strongly preferredExperience in financial services or another regulated industry is preferredWho We AreTD is one of the world's leading global financial institutions and is the fifth largest

📌 Manager, Wfm Ai Capabilities, Insights & Integration (Toronto)
🏢 Anonymous
📍 Toronto