As a Program Lead on the Meta FinTech Compliance (MFTC) Transaction Monitoring team, you will play a key role in executing large-scale projects in the payments compliance space, including control design, automation, and technology migrations. In this role, you will oversee and help manage Transaction Monitoring (TM) program(s), monitor overall program health, and drive process, technology, and operational enhancements that strengthen Meta's AML compliance framework.

You will develop creative solutions to enable scale for TM controls and processes, leveraging AI and other technology to improve TM programs. This includes identifying opportunities to enhance existing workflows, designing new controls, and partnering with Engineering, Data Science, and Product teams to build and implement tooling that supports the program's objectives. You will take ownership of end-to-end program execution, from scoping and planning through delivery, communication, and measurement of outcomes.

You will work collaboratively with a diverse group of cross-functional stakeholders, including but not limited to Legal, Engineering, and Integrity teams. In doing so, you will help Meta advance its mission while maintaining its commitment to AML compliance. Meta is committed to complying with international and U.S. AML laws and regulations, and this role will help ensure our Transaction Monitoring controls and processes are designed, implemented, and maintained in accordance with applicable policies, procedures, and regulatory requirements.

Responsibilities
Own and drive the execution of large-scale Transaction Monitoring projects and initiatives, including control design, automation efforts, and technology migrations within the Meta FinTech Compliance payments ecosystem
* Oversee and manage TM program(s) end-to-end: monitor overall program health, track key performance indicators, and proactively identify and resolve risks, blockers, and dependencies
* Drive process and operational enhancements that improve the quality, efficiency, and scalability of Transaction Monitoring controls and workflows
* Develop creative, scalable solutions to enable growth and maturation of TM controls and processes, with a focus on leveraging automation and internal tooling
* Partner closely with Engineering, Legal, Integrity, and other cross-functional teams to design, build, and implement technology solutions that support TM program objectives
* Translate complex compliance requirements into clear technical specifications and project plans that enable Engineering and Product teams to build effective solutions
* Communicate program status, risks, and outcomes clearly and concisely to stakeholders at all levels, including senior leadership, ensuring transparency and alignment on priorities
* Identify opportunities to leverage AI, automation, and emerging technologies to enhance TM program capabilities and drive operational efficiency at scale
* Support the FIU and broader TM team on special, complex investigations as needed, including analytical research of large data sets using AI tooling and internal platforms
* Promote a culture of compliance by designing and operating internal controls and ensuring adherence to policies and procedures that manage risk to Meta and its communities

Qualifications
BA/BS degree in a relevant field (e.g., Finance, Business, Computer Science, or related discipline)
* 3+ years of experience in program management, project management, management consulting, finance, engineering, or analytics within financial services, the technology sector, or in a compliance-related function
* Experience building relationships across multi-disciplinary teams and managing cross-functional projects involving technical and non-technical stakeholders
* Demonstrated ability to think analytically, communicate complex topics clearly, and drive projects to completion with minimal oversight
* Experience with process design, control frameworks, or operational workflow optimization Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
* Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
* Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
* Experience applying structured analysis and creative problem-solving to program design and execution challenges
* 5+ years of experience in program management, compliance operations, management consulting, or a related function at a financial services organization and/or FinTech
* Background in financial crime compliance, including AML/CTF, transaction monitoring, or investigations, with an understanding of regulatory requirements and industry best practices
* Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
* Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
* Ability to draw insights from analyzing large, complex data, build creative solutions using data, and clearly communicate key insights to stakeholders
* Experience building or implementing internal tools, dashboards, or automation solutions to drive program efficiency and scale
* Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
* Ability to understand core programming ideas in order to effectively build alongside engineering partners and contribute to the design of new solutions
* Experience working within or closely supporting a Financial Intelligence Unit (FIU), including familiarity with investigative workflows, SAR processes, and escalation management
* Certified Anti-Money Laundering Specialist (CAMS), Certified Fraud Examiner (CFE), Project Management Professional (PMP), or similar certification

MEAN Stack

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