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Sr. Product Manager

Home Depot

Atlanta, GAFull-timePosted 1 day agoStill listed today

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At a glance

Compensation
No compensation found
Location
Atlanta, GA
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The Sr. Product Manager drives strategy, development, and scaling of enterprise AI/ML and data-driven products for business insights and decision-making. The role defines roadmaps for analytics and AI platforms, partners with engineering and data science, and manages product lifecycles from backlog prioritization through delivery. It also guides cross-functional execution, assesses emerging technologies, and establishes standards for data-driven products and reporting solutions.

Skills & qualifications

RequiredNice to have

Skills

Enterprise AI/ML Product ManagementAutomationData PlatformsBusiness Requirements TranslationMachine Learning SolutionsModel DeploymentSQLIBM CloudLarge-Scale Data ManagementData-Driven Product ScalingAnalytics PlatformsReporting SystemsAI-Powered InsightsDashboardsDecision-Support ToolsAgile Software DevelopmentProduct Backlog ManagementUser ResearchTechnical SpecificationsCross-Functional CollaborationCompetitive Analysis

Qualifications

Must Be 18+Bachelor's in Computer Science, Information Technology, Analytics, Business Administration or Related3 Years Related Experience3 Years Product Management Experience3 Years Machine Learning Solutions Experience3 Years Model Deployment Experience3 Years Cloud Data Platform Experience3 Years Large-Scale Dataset Experience3 Years Data-Driven Product Experience3 Years AI Insights Experience3 Years Agile Development Experience3 Years Product Backlog Experience

Full job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Key Responsibilities:

  • Responsible for driving the strategy, development, and scaling of enterprise AI/ML and data-driven products that enable actionable insights and support business decision-making.
  • Define product vision and roadmap for advanced analytics and AI platforms by translating complex business problems into scalable, data-driven solutions.
  • Partner with engineering and data science teams to design products leveraging machine learning models, generative AI capabilities, and large-scale data systems.
  • Oversee the development of intelligent product features such as automated insights, reporting systems, and decision-support tools built on structured and unstructured data sources.
  • Ensure solutions are designed for scalability, reliability, and integration within enterprise data ecosystems.
  • Manage product lifecycles in a technical environment, including backlog creation, prioritization, and delivery of features involving data pipelines, models, and platform components.
  • Balance business impact with technical feasibility and platform extensibility when making product decisions.
  • Translate complex technical concepts into clear product requirements and stakeholder communications, enabling alignment across technical and non-technical teams.
  • Collaborate with cross-functional teams including Engineering, Data Science, UX, and Analytics to deliver production-ready solutions and continuously improve product capabilities.
  • Assess market trends and emerging technologies in AI/ML and analytics to inform product direction and maintain competitive positioning.
  • Establish standards for data-driven products and reporting solutions, ensuring consistency, scalability, and long-term usability across teams.
  • Support team development by guiding best practices in technical product management and execution.

Minimum Qualifications:

  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.
  • Bachelor’s degree in Computer Science, Information Technology, Analytics, Business Administration, or a related field and 3 years of experience in a related occupation. Requires 3 years of experience in the following skills:
  • Product management experience in enterprise AI/ML, automations, and data platform environments;
  • Translating business requirements into machine learning or advanced analytics solutions;
  • Developing, evaluating, and deploying models in production environments with data science teams
  • Working with cloud-based data and analytics platforms (e.g., SQL, IBM Cloud, or similar technologies);
  • Managing products built on large-scale structured and unstructured datasets;
  • Building or scaling data-driven products, analytics platforms, or reporting systems;
  • Developing AI-powered insights, dashboards, or decision-support tools;
  • Working within modern Agile software development environments for data and AI products;
  • Creating and managing complex product backlogs involving data pipelines, models, and platform components;
  • Conducting user research and translating findings into product requirements and technical specifications;
  • Working with cross-functional teams including Engineering, Data Science, UX, and Analytics; and
  • Conducting competitive analysis within AI/ML, data, or analytics product domains.

How this job compares

Set against the 10,331 open Product Management jobs on Olive Jobs, counted November 6, 2026.

Pay
  • This postingNot listed
  • Georgia median$125–216K/yr117 salary ranges
  • US median$26–36/hr326 hourly ranges
Openings
Olive Jobs lists 223 open Product Management jobs in Georgia and 10,331 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in Georgia
Experience
This posting asks for at least 3 years of experience — less than three in four Product Management postings that state a minimum ask for (median 7 years, across 8,769 postings).
Education
This posting asks for a bachelor's degree; 3,160 of the 10,331 open Product Management jobs (31%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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