Director - AI Solutions Lead

The Home Depot • Atlanta, DE

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 Home Depot is undergoing a fundamental transformation, leveraging all forms of AI from Machine Learning to Generative and Agentic to build the next generation of retail experiences for our Customers and Associates. We are seeking a visionary and highly skilled Director – AI Solutions Lead capable of spearheading complex projects utilizing tools & platforms across that spectrum. In this pivotal role, you will help design, build, orchestrate and deploy sophisticated, multi-agent AI systems that will power our core business processes. This role requires both deep technical and retail acumen to harness AI’s power and deliver significant results for our business. You will collaborate with front line functions, product and technology teams to bring solutions to life. As a key AI leader, you will be instrumental in transforming our models and business processes into robust, reliable and adaptive production systems, and as the technology continues rapidly evolving, you will provide input to help shape Home Depot’s platforms.

Requirements

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
• 10 Minimum Years of Work Experience:

Nice To Haves

• A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related technical field.
• 7+ years of professional experience in software engineering, data science, or business intelligence & analytics, with a proven track record of designing and deploying large-scale, production-grade systems.
• Strong expertise in building and deploying AI/ML applications, with deep proficiency in Python.
• Direct, hands-on experience developing agentic or generative AI applications using frameworks like Google's Agent Development Kit (ADK), LangChain, or similar.
• Knowledge of implementing memory and context systems for AI agents, such as Retrieval-Augmented Generation (RAG) pipelines and vector databases.
• Familiarity with the Google AI ecosystem, including Vertex AI (Agent Engine, Model Garden) and large language models like the Gemini family.
• A strong portfolio of personal or professional projects showcasing functional AI agent systems or scalable ML infrastructure.
• Demonstrated experience designing and deploying large-scale, production-grade systems on cloud platforms, specifically Google Cloud Platform (GCP).
• Excellent analytical and systems-thinking skills, with a core focus on designing for scalability, reliability, and performance.
• Experience in a retail or related industry.
• Prior experience in managing and leading a team.

Responsibilities

• People Management & Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Establish a clear vision for the team and influence reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrates accomplishments
• Data Science Advocacy - Collaborate with business leaders to align on objectives and expectations; Serve as escalation point for any issues or difficulties with specific projects or initiatives; Champion data science capabilities and new skills to continually identify ways to impact the business; Define effective metrics to understand the high level performance against business goals
• Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Ensure a successful operating model and cost structure for Data Science is developed and leveraged across the enterprise to standardize ROI calculations and project/team funding; Effectively develop trust and collaboration with internal customers and cross-functional teams; Support data science research and innovation efforts that can serve as competitive advantage for the enterprise; Develop an integrated data science vision and end-to-end strategy; Drive adoption of leading-edge data science techniques and methods, both predictive and prescriptive

What This Job Offers

• Job Type: Full-time
• Career Level: Director