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Tier-1 brand, metro location, generalist managerial role, and broad skills create high applicant competition.
Senior engineering manager skills transferable, but data/analytics and payments domain experience moderately preferred.
Mandatory 10+ years, full-stack and data engineering expertise, and specific tech stack increase screening strictness.
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Lead strategic technical direction and architecture for AI-driven Analytics & AI product suite applications.
Coach and manage a cross-functional engineering team to deliver scalable, high-quality analytics and data-driven solutions.
Collaborate with product managers and designers to define roadmaps, scope features, and ensure scalable platform solutions meet customer demands.
10+ years of engineering experience in an agile production environment.
Proficiency in object-oriented programming (Java/Spring preferred, or C#) and modern front-end frameworks (preferably React with Redux, Typescript).
Experience with RESTful APIs, SQL, multi-threading, message queuing, Git, Jenkins.
Degree in Computer Science or related technical field.
Hands-on experience building and deploying production-level data-driven applications and AI/ML systems at scale, preferably using Java, Scala, or Python.
Strong background in data engineering or data science with expertise in data pipelines, architecture, and infrastructure.
Experience leading agile teams focused on analytics and AI product development with a customer-centric approach.