AI Transformation Manager

The Home DepotAtlanta, GA
Onsite

About The Position

The AI Transformation Manager is a pivotal role responsible for the operationalization, governance, and value realization of AI initiatives across the enterprise. This role bridges the gap between technical AI capabilities and business strategy, ensuring that AI tools are adopted effectively, managed efficiently, and drive measurable ROI. The ideal candidate will have a strong background with analytics, project management, platform governance, and cross-functional leadership, acting as the key orchestrator for our AI ecosystem.

Requirements

  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.
  • Analytical mindset with the capability to build dashboards, track KPIs, and measure ROI for strategic initiatives while being able to also tell the story behind the numbers.
  • Proven experience in project management, IT operations, or a similar role.
  • Understanding of software licensing, vendor management, and cost optimization.
  • Excellent stakeholder management skills with the ability to bridge the gap between technical teams (IT, Data, Security) and business units.

Nice To Haves

  • SQL/Big Query Experience preferred.
  • Experience using LLMs such as Copilot, Gemini, Claude, and Chat GPT.

Responsibilities

  • Platform License Management: Centralize the administration and lifecycle management of AI platform licenses (e.g., Copilot, Gemini, Claude).
  • Consumption Analytics: Conduct continuous usage and telemetry analysis to identify underutilized licenses and optimize overall API/compute cost consumption.
  • Governance & RBAC: Design, implement, and audit robust Role-Based Access Control (RBAC) frameworks. Ensure access aligns with enterprise data security and compliance policies.
  • User Success & Intake: Serve as the primary triage point for user requests, access provisioning, and operational inquiries.
  • Benefits Tracking Framework: Develop and manage a rigorous value-tracking framework for top AI initiatives. Measure holistic business impacts: margin enhancement, revenue acceleration, and tangible productivity gains.
  • Cost and ROI Benchmarking: Partner with business unit leaders to benchmark AI deployment compute against the benefits to track ROI.
  • Executive Reporting: Translate technical and operational AI metrics into business-centric dashboards for executive leadership, ensuring continuous visibility into the AI portfolio's health.
  • Cross-Functional Alignment: Act as the strategic bridge between IT, Data Engineering, Legal, and core business units to ensure alignment across initiatives and enablement.
  • Governance: Drive the organization and project plan for the working governance committees to ensure execution.
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