Sr Analyst, Program Management AI Automation Enablement

The Home Depot • Atlanta, GA

1d

About The Position

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Senior Analyst, Program Management - AI / Automation Enablement, is the functional lead and execution engine for high-impact AI-powered solutions. This role bridges the gap between business strategy and technical delivery, translating the needs of Online Merchants and Brand Advocates into scalable, automated workflows. Reporting to the Senior Manager, this individual is responsible for the day-to-day management of a "Balanced Team" (Data Science, IT, and UX), ensuring that technical roadmaps are aligned with business realities. The Senior Analyst combines a strong grasp of data architecture and SQL/data warehousing with a product-centric mindset to drive the development, integration, and adoption of agentic systems across a 1–2 year program horizon.

Requirements

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• 4+ years of professional experience in a Product Management, Business Analysis, or Technical Program Management capacity.
• 2+ years of direct experience contributing to the implementation of AI, ML, or Automation solutions within business workflows.
• Demonstrated experience leading cross-functional "Balanced Teams" (Data Science, Engineering, UX) in an agile or sprint-based environment.
• Technical Data Proficiency: Proficiency in SQL and experience navigating cloud data warehouses to analyze data structures and validate solution inputs.
• Business Translation: Proven ability to translate ambiguous business "pain points" into structured technical requirements and user stories.
• Solution Lifecycle Management: Experience driving a technical product from initial requirements through UAT, deployment, and user adoption.

Nice To Haves

• Bachelor’s degree in a relevant field (Computer Science, Data Analytics, Business Information Systems, or equivalent).
• Technical Product Ownership: Prior experience working as a Product Owner or Lead Analyst within a modern software design and development team.
• Process Optimization: Demonstrated experience re-engineering manual business processes into automated or AI-enabled workflows.
• AI Ecosystem Knowledge: Familiarity with the components of Generative AI systems, including an understanding of how models integrate with enterprise applications via APIs or orchestration layers.
• Data Architecture: Knowledge of data modeling concepts and how data flows from source systems to AI model endpoints.
• Retail or E-commerce Experience: Prior experience supporting Online Merchants, Brand Advocates, or similar business-side stakeholders in a large enterprise environment.
• Change Management: Experience developing training materials and documentation to drive the adoption of new technical tools.

Responsibilities

• Cross-Functional Coordination - Balanced Team Leadership: Lead the daily cadence and project rhythm for a matrixed team of Data Science, IT, and UX partners, ensuring high-performance and program rigor. Collaborative Best Practices: Actively contribute to the solution design process, voicing opinions on best practices and fostering a culture of continuous improvement within the technical team. Dependency Management: Proactively identify and resolve impediments across indirect support teams, ensuring that cross-functional roadmaps remain synchronized.
• Program Execution & Sprint Delivery - Roadmap Management: Orchestrate the phased delivery of AI solutions, balancing immediate sprint needs with the long-term (1–2 year) strategic goals of the program. Execution Rigor: Manage program tracking against the roadmap, focusing on schedule, scope, and resource alignment while translating technical risks into potential business impacts. Integration Strategy: Coordinate the seamless embedding of AI tools into existing merchant workflows, ensuring that solutions are user-friendly and technically scalable.
• Stakeholder Alignment & Value Realization - User Advocacy: Serve as the primary point of contact for Online Merchants and Brand Advocates, managing expectations and communicating transparent status updates. Adoption & Change Management: Support the development of change management plans to ensure business teams effectively adopt and trust new AI-driven processes. Value Tracking: Monitor tool performance and report on business outcomes (e.g., efficiency gains, ROI, and decision-making accuracy) to leadership and executive stakeholders.
• Technical Product Ownership & Solutioning - Workflow Translation: Partner with business users to deconstruct manual processes into structured logic, identifying where AI and automation can drive the most operational leverage. Data Fluency: Leverage SQL and data warehouse knowledge to understand underlying data structures, validate model inputs, and ensure technical solutions are built on a sound architectural foundation. Technical Requirement Definition: Translate ambiguous business "pain points" into high-quality technical requirements, user stories, and acceptance criteria for Data Science and Engineering teams. Product Quality Assurance: Act as a primary tester for AI outputs, ensuring the solution meets the rigorous accuracy and reliability standards required by the business.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: High school or GED