Job Specifications
Lieu De Travail
Toronto, Ontario, Canada
Horaire
37.5
Secteur D’activité
Fonctions des services habilitants de l’entreprise
Détails De La Rémunération
$108,800 - $163,200 CAD
La TD a à cœur d’offrir une rémunération juste et équitable à tous les collègues. Les occasions de croissance et le perfectionnement des compétences sont des caractéristiques essentielles de l’expérience collègue à la TD. Nos politiques et pratiques en matière de rémunération ont été conçues pour permettre aux collègues de progresser dans l’échelle salariale au fil du temps, à mesure qu’ils s’améliorent dans leurs fonctions. Le salaire de base offert peut varier en fonction des compétences et de l’expérience du candidat, de ses connaissances professionnelles, de son emplacement géographique et d’autres besoins particuliers du secteur et de l’entreprise.
En tant que candidat, nous vous encourageons à poser des questions sur la rémunération et à avoir une conversation franche avec votre recruteur, qui pourra vous fournir des détails plus précis sur ce poste.
Description Du Poste
We are looking for a visionary Senior Product Owner for Salesforce Data Cloud to lead TD’s next era of data-driven marketing transformation. In this role, you will shape the strategy, roadmap, and adoption of Data Cloud as the foundation for real-time personalization, unified customer intelligence, and cross-channel experiences. You will play a critical role in TD’s agile marketing transformation, inspiring business partners with a clear vision of the future, aligning teams around shared outcomes, and driving momentum behind new capabilities that elevate how we engage customers. This is a unique opportunity to lead the evolution of our marketing and digital ecosystem as Salesforce moves personalization, segmentation, and intelligence into its Data Cloud core.
CUSTOMER
Partner with senior leadership to define and evolve the enterprise vision for Salesforce Data Cloud as the core enabler of personalized, data-driven customer experiences across all channels.
Translate the Data Cloud vision into a clear roadmap of business outcomes and use cases (e.g., audience segmentation, real-time personalization, identity resolution, consent management).
Build and maintain a value-focused product backlog of features and data capabilities that maximize impact on marketing, sales, and service journeys.
Collaborate with business stakeholders and Salesforce architects to continuously refine data models, unification rules, and activation pipelines for optimal customer value.
Define and monitor key performance indicators such as match rates, activation rates, data freshness, and downstream campaign lift; recommend enhancements to improve business outcomes.
Work with Salesforce Marketing Cloud, Personalization, Loyalty Management, and Financial Services Cloud teams to enable seamless cross-cloud data activation.
Represent the voice of the customer and the business in all agile ceremonies (stand-ups, backlog refinement, sprint planning, retrospectives), ensuring that every iteration delivers measurable value.
Ensure that downstream teams (marketing, analytics, compliance) are prepared for new data capabilities and Day 2 operational processes.
SHAREHOLDER
Govern product delivery within enterprise frameworks and partnering with Salesforce Center of Excellence (CoE) and Marketing Data Engineering on standards for data privacy, consent, and compliance.
Partner with risk, privacy, and security teams to ensure adherence to data governance and regulatory requirements (e.g., PII handling, consent capture, retention policies).
Drive quarterly business reviews (QBRs) highlighting Data Cloud adoption, business outcomes, and roadmap progress.
Proactively identify and mitigate delivery, data quality, and adoption risks.
Define and monitor Objectives and Key Results (OKRs) tied to measurable business metrics such as increased campaign efficiency, improved conversion rates, or enhanced customer insight.
Champion enterprise data maturity through collaboration with analytics, MarTech, and CRM teams to align strategy, platforms, and execution.
Continuously assess new Salesforce and ecosystem capabilities (e.g., Agentforce, Einstein AI, Data Spaces) and propose strategic adoption plans.
EMPLOYEE / TEAM
Lead a cross-functional squad / agile pod technology resources, Data Engineers, and Analysts focused on evolving the Salesforce Data Cloud platform.
Cultivate a culture of curiosity, collaboration, and continuous learning—bridging marketing, technology, and analytics.
Provide coaching and mentorship to team members to strengthen their understanding of Salesforce Data Cloud architecture, data ingestion patterns, and real-time activation.
Foster inclusivity and psychological safety, encouraging experimentation and innovation in how customer data drives value.
Recognize and develop talent to sustain a diverse pipeline of future leaders in digital data and product disciplines.
Champion continuo