Join The Home Depot’s mission to protect our customers and business by leading the charge in enterprise fraud prevention. This role drives innovation in fraud detection through AI, real-time analytics, and hands-on tech leadership.
Key Responsibilities:
• Own and manage the enterprise fraud technology stack end-to-end, ensuring robust, scalable, and real-time defenses.
• Design and implement AI-driven decisioning systems to detect and prevent fraud across all channels.
• Integrate best-in-class fraud prevention platforms and tools into the enterprise ecosystem.
• Set technical strategy and guide architectural decisions to support long-term fraud mitigation goals.
• Collaborate cross-functionally with fraud analysts, investigators, data scientists, and engineering teams to stay ahead of emerging threats.
• Lead the development of real-time fraud detection capabilities using advanced analytics and machine learning.
• Maintain hands-on involvement in coding, system design, and platform optimization.
• Monitor fraud trends and continuously evolve technology solutions to address new attack vectors.
• Ensure high availability, performance, and reliability of fraud detection systems in production environments.
• Champion innovation and experimentation in fraud prevention technologies and methodologies.
• Provide technical leadership and mentorship to junior engineers and cross-functional partners.
Preferred Experience & Skills:
• Hands-on experience integrating and implementing fraud prevention platforms such as ThreatMetrix, Ekata, Forter, Kount, or similar.
• Architectural fluency in data pipelines (Kafka, Spark, ETL frameworks), APIs, and microservices for fraud signal ingestion and scoring.
• Experience with cloud platforms (AWS, GCP, or Azure) and microservices architecture.
• Strong knowledge of data structures, AI/ML implementation, and real-time data processing.
• Proven track record building and operationalizing real-time scoring pipelines for Account Takeover (ATO) and Account Origination (AO) fraud.
• Expertise in designing scalable fraud decision engines and rule orchestration layers.
• Strong background in digital fraud mitigation techniques—including device fingerprinting, IP reputation, velocity/rule checks, and anomaly detection—ideally in an e-commerce or retail context.
Direct Manager/Direct Reports:
• This position typically reports to Manager or Sr. Manager
• This position has 0 Direct Reports
Travel Requirements:
• No travel required.
Physical Requirements:
• Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Working Conditions:
• Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Minimum Qualifications:
• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
Minimum Education:
• 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.
Minimum Years of Work Experience:
• 5+
Competencies:
• Action Oriented
• Collaborates
• Drives Engagement
• Communicates Effectively
• Customer Focus
• Drives Results
• Manages Conflict
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