Senior Manager, Technology - AI Infrastructure, Analytics and Customer Data

The Home Depot Canada
Toronto; Ontario, CA; US
Hybrid

Job Description

Pay Range: $140,000 - $155,000

At The Home Depot Canada, we want you to feel valued and supported. The pay range you see represents base salary only. In addition, your total rewards may include: semi-annual bonuses tied to business performance; Deferred Profit-Sharing Program to assist with retirement savings; comprehensive paid benefits; a 15% discount on Home Depot stock purchases; and merit-based salary increases. We are committed to recognizing your efforts and supporting your growth with us.

Are you someone who thrives on helping others succeed, enjoys making an impact, and takes pride in guiding customers to the right solutions for their projects? If you’re also naturally curious and eager to keep learning, consider starting or growing your career with us at The Home Depot.

Title: Senior Manager, Technology - AI Infrastructure, Analytics and Customer Data

The Senior Manager position is a hybrid role requiring on-site presence at least one day per week, plus any additional days needed for mandatory meetings or specific business requirements.

Position Overview: As a Sr. Manager Technology, you will contribute to the products we create, help grow the next generation of talent, and help shape the technology strategy of the enterprise. This position oversees and directs several management teams of associates in the development, implementation and ongoing support of Home Depot’s existing and new Analytics, AI, and CRM platforms.. The Sr. Manager must exhibit the ability to lead managers and their teams and drive change management and process improvement.

The Senior Manager, will support and drive the implementation of the AI Data Strategy, and advanced analytics operations at Home Depot. Responsibilities include development of data infrastructure to support AI use cases across the organization and working with cross-functional partners to create data marts that serve multiple stakeholders. This individual is also responsible for leading and managing development and ongoing support for CRM and Customer Commons (platform for identification of customer golden record).

As part of a high-energy, diverse, fast-paced, and innovative culture, the Sr. Manager, will be expected to engage with our business partners to identify data-driven opportunities and map business problems to data needs and AI solutions; develop a roadmap that spans and informs all areas of the business from product innovation to customer success; and guide and inspire the teams in best practices, and evangelize strategic use of data throughout the organization.

Key Responsibilities:

AI Infrastructure, Analytics and Customer Data Requirements:

  • The role requires critical thought leadership focused on developing analytical processes, tools, and strategy and data infrastructure
  • Establishes short and long range capital estimates, plans and executes projects in a timely and fiscally responsible manner with utmost customer satisfaction.
  • Oversee transformation of data infrastructure (SAP and non-SAP data)
  • Manage the data engineering team that ensures best practices for data governance, security, and scalability data quality, governance and consistency for advanced analytics and AI modeling
  • Partner with cross-functional business leaders to demystify AI capabilities, identify high-value use cases, and drive enterprise-wide AI adoption and change management.
  • Ensure AI solutions comply with ethical standards and regulatory requirements
  • Monitor and evaluate the performance of AI systems, making improvements as needed
  • Spearhead initiatives to streamline the transition of AI and analytics projects from development to production, ensuring robust infrastructure and operational efficiency
  • Manage and lead unification of customer data under Customer Commons platform
  • Manage CRM platform responsible for identification of Pro customers and managing leads

Strategy & Planning:

  • Works and negotiates with partners on the staffing of Technology positions on the teams
  • Contributes to and makes recommendations for strategic plans in support of key objectives in a timely and fiscally responsible manner
  • Supports and nurtures strategic vendor relationships; recommends ways to influence vendors that align to domain, portfolio, and enterprise strategic objectives
  • Thought Leadership- Evaluates new technologies for adoption across the enterprise
  • Helps to identify and demonstrate emerging technologies for adoption by product teams
  • Build and maintain capital financial plan for delivery teams

Delivery & Execution:

  • Collaborates and partner with other teams (UX, Technology, and product management) to create secure, reliable, scalable software solutions
  • Works with vendors and partners for the successful implementation of applications and platforms
  • Supporting creation of meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
  • Participates in and leads review board sessions to drive

Skills & Requirements

Technical Skills

Ai infrastructureAnalyticsCustomer dataData governanceData qualityData securityData scalabilityCrmCustomer commonsData martsCross-functional collaborationChange managementProcess improvementEthical standardsRegulatory requirementsData-driven opportunitiesStrategic use of dataSapNon-sap dataData engineeringData modelingData transformationData infrastructureData mart creationAi solutionsAi adoptionAi complianceAi performance monitoringAi evaluationLeadershipChange managementProcess improvementCross-functional collaborationData-driven decision makingStrategic thinkingInnovationTeam managementGuidanceInspirationEvangelismCustomer successProduct innovationBusiness partner engagementData-driven opportunities mappingBusiness problem solvingData needs identificationAi solutions mappingBusiness roadmap developmentBest practices guidanceStrategic use of data evangelizationTechnologyAiAnalyticsCustomer dataData infrastructureCrmCustomer commonsData martsAi solutionsAi adoptionAi complianceAi performance monitoringAi evaluationData governanceData qualityData securityData scalabilityEthical standardsRegulatory requirementsData-driven opportunitiesStrategic use of dataSapNon-sap dataData engineeringData modelingData transformationData infrastructureData mart creationAi solutionsAi adoptionAi complianceAi performance monitoringAi evaluation

Soft Skills

LeadershipChange ManagementProcess Improvement

Domain Knowledge

TechnologyAIData

Salary

$140,000 - $155,000

year

Employment Type

FULL TIME

Level

senior

Posted

3/17/2026

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