Sr. Product Manager

Home Depot•Atlanta, GA

11h

About The Position

The Sr. Product Manager drives the strategy, development, and scaling of enterprise AI/ML and data-driven products that enable actionable insights and support business decision-making. The role defines product vision and roadmaps for advanced analytics and AI platforms, translating complex business problems into scalable, data-driven solutions. It partners with engineering and data science teams to develop products using machine learning models, generative AI, and large-scale data systems, including automated insights, reporting systems, and decision-support tools built on structured and unstructured data. The position manages technical product lifecycles, including backlogs, prioritization, and delivery of features involving data pipelines, models, and platform components. It balances business impact, technical feasibility, scalability, reliability, and integration with enterprise data ecosystems. The role also communicates technical concepts and requirements to technical and non-technical stakeholders, collaborates across Engineering, Data Science, UX, and Analytics, assesses market trends and emerging technologies, establishes standards for data-driven products and reporting solutions, and supports team development through guidance on technical product management and execution best practices.

Requirements

Must be at least 18 years of age.
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.
Three years of experience in a related occupation.
Three years of product management experience in enterprise AI/ML, automation, and data platform environments.
Three years of experience translating business requirements into machine learning or advanced analytics solutions.
Three years of experience developing, evaluating, and deploying models in production environments with data science teams.
Three years of experience working with cloud-based data and analytics platforms, such as SQL, IBM Cloud, or similar technologies.
Three years of experience managing products built on large-scale structured and unstructured datasets.
Three years of experience building or scaling data-driven products, analytics platforms, or reporting systems.
Three years of experience developing AI-powered insights, dashboards, or decision-support tools.
Three years of experience working in modern Agile software development environments for data and AI products.
Three years of experience creating and managing complex product backlogs involving data pipelines, models, and platform components.
Three years of experience conducting user research and translating findings into product requirements and technical specifications.
Three years of experience working with cross-functional Engineering, Data Science, UX, and Analytics teams.
Three years of experience conducting competitive analysis in AI/ML, data, or analytics product domains.

Responsibilities

Drive the strategy, development, and scaling of enterprise AI/ML and data-driven products that enable actionable insights and business decision-making.
Define product vision and roadmaps for advanced analytics and AI platforms, translating business problems into scalable, data-driven solutions.
Partner with engineering and data science teams to design products using machine learning models, generative AI, and large-scale data systems.
Oversee development of intelligent features, including automated insights, reporting systems, and decision-support tools based on structured and unstructured data.
Ensure solutions are scalable, reliable, and integrated into enterprise data ecosystems.
Manage product lifecycles, including backlog creation, prioritization, and feature delivery for data pipelines, models, and platform components.
Balance business impact with technical feasibility and platform extensibility when making product decisions.
Translate technical concepts into clear product requirements and stakeholder communications.
Collaborate with Engineering, Data Science, UX, and Analytics teams to deliver production-ready solutions and improve product capabilities.
Assess AI/ML and analytics market trends and emerging technologies to inform product direction and competitive positioning.
Establish standards for data-driven products and reporting solutions to promote consistency, scalability, and long-term usability.
Guide team development and best practices in technical product management and execution.