Lead Technical Program Manager, Fraud Technology

Citi

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Irving, TXJacksonville, FL
Salary: $114,720–$172,080 / yr
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $195k

This role $143k

$100k $255k

below market most similar roles pay here above market

This role pays less than 94% of similar roles. Most pay $166,812–$222,601 — the blue band above. At the midpoint, this role pays about $143k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 268 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 251 roles with salary data.

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At a glance

TL;DR · Lead Technical Program Manager, Fraud Technology

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The Lead Technical Program Manager, Fraud Technology leads end-to-end technology governance, architectural alignment, and delivery execution for Enterprise Fraud Prevention initiatives. Working within the Fraud Technology team, you will drive multi-million-dollar programs from architectural discovery through production rollout by navigating cross-functional dependencies across engineering squads, data science teams, and risk partners. You will manage milestones, identify technical bottlenecks, and establish release readiness for high-throughput, ultra-low-latency financial transaction systems. Key responsibilities include facilitating technical architecture reviews for microservices, REST/SOAP APIs, and Kafka event-driven streaming while utilizing Generative AI tools to automate reporting and documentation. You must ensure compliance with SDLC governance and regulatory mandates like PCI-DSS. This role solves complex integration challenges across hybrid cloud and on-premise infrastructure to maintain resilient data layers and fraud prevention systems.

Skills

Microservices SOAP Kafka Event-Driven Architecture Hybrid Cloud GenAI LLMs Jira Confluence Jira Align MS Project ServiceNow SDLC Agile Scrum SAFe PCI-DSS Data Governance

What you'll do

Lead end-to-end technology planning, execution, and delivery governance for mission-critical fraud prevention programs.
Track program milestones, critical paths, and deliverable commitments across multiple agile engineering squads.
Identify and mitigate technical bottlenecks, architectural conflicts, and resource constraints across complex cross-program dependencies.
Facilitate technical architecture reviews and define integration contracts for microservices, APIs, and event-driven streaming.
Integrate Generative AI and automated tooling to streamline program management workflows and executive reporting.
Serve as the primary strategic liaison to communicate delivery health, technical trade-offs, and risks to executive leadership.
Ensure strict compliance with SDLC governance, data policies, and regulatory mandates like PCI-DSS and Model Risk Management.
Enforce operational resilience by establishing release readiness criteria and automated rollback strategies for high-throughput systems.

What we're looking for

Bachelor's degree in Computer Science, Software Engineering, Information Systems, Business Technology, or a related discipline.
Master's degree (preferred).
8+ years of experience in Technical Program Management, Technology Project Management, Engineering Delivery, or related technology leadership roles.
2+ years of experience supporting payments, fintech, fraud prevention, risk management, or other highly regulated technology environments.
Strong technical fluency in microservices, REST/SOAP APIs, event-driven architectures (Kafka/MQ), hybrid cloud, and distributed database systems.
Experience coordinating cross-functional teams, managing dependencies, and tracking critical-path milestones in matrixed organizations.
PMP, PMI-ACP, CSM, SAFe, or comparable project/program management certification (preferred).
Experience utilizing AI-enabled productivity tools (e.g., Copilot, LLMs) to support reporting, documentation, and delivery management (preferred).