Lead Technical Program Manager Fraud Technology

The Lead Technical Program Manager, Fraud Technology is responsible for driving end-to-end technology governance, architectural alignment, and delivery execution for Citi’s Enterprise Fraud Prevention initiatives. In this role, you will serve as a technical authority navigating critical cross-functional dependencies across distributed engineering squads, data science teams, core platform services, and risk/compliance partners. You will blend deep systems acumen with executive presence and crisp, diplomatic communication to guide multi-million-dollar programs from architectural discovery through production rollout. This position requires an in-depth understanding of how sub-functional units integrate end-to-end, as well as the ability to coordinate across diverse groups to achieve broad organizational objectives. Key Responsibilities End-to-End Program Delivery & Strategic Roadmap Execution Lead end-to-end technology planning, execution, and delivery governance across complex, mission-critical programs within Citi’s Fraud Technology Book of Work. Define, baseline, and track program milestones, critical paths, and deliverable commitments across multiple agile squads and hybrid legacy/modernized distributed platforms. Proactively manage complex cross-program dependencies, identifying technical bottlenecks, architectural conflicts, and resource constraints early to formulate and execute effective mitigation plans. Establish rigorous Definition of Done (DoD), release readiness criteria, and robust operational cutover strategies tailored for high-throughput, ultra-low-latency financial transaction systems. Architecture Alignment, Dependency Management & Systems Integration Guide stakeholders and engineering squads through complex trade-off evaluations, balancing business priorities, customer experience, platform strategy, performance benchmarks, and long-term maintainability. Facilitate technical architecture reviews, interface design agreements (REST/SOAP APIs, Kafka/event-driven streaming), and binding cross-team integration contracts. Apply deep technical domain knowledge across core software engineering disciplines, including microservices architectures, distributed API protocols, hybrid cloud and on-premise infrastructure, and resilient data layers. AI-Augmented Program Management & Operational Excellence Champion and integrate modern Generative AI (GenAI) and automated tooling to streamline and modernize traditional program management workflows:Automate the synthesis of complex technical discussions, action items, and Architectural Decision Records (ADRs). Accelerate the generation of executive dashboards, release notes, and milestone variance analytics. Standardize AI-driven delivery best practices, prompts, and reporting templates across participating engineering teams. Executive Presence & Stakeholder Communication