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Sr. Product Manager

Home Depot
3 days ago
Full-time
On-site
Atlanta, Georgia, United States
Senior Product Manager

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

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

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