Meta FinTech Compliance is seeking a KYC Process Automation Manager to lead the identification, analysis, and optimization of operational processes for Know Your Customer (KYC) review. This role is responsible for designing, implementing, and managing innovative automation solutions powered by Large Language Models (LLMs) and other AI technologies, with a focus on reducing manual review workload, improving decision consistency, and driving operational excellence.
Requirements
- Understanding of large language models (LLMs) and their application to agentic systems
- Experience with training and inference of large-scale AI models, including LLMs, multimodal models, and reasoning models
- Experience conducting research in generative AI and large language models (LLMs)
- Experience manipulating and analyzing complex, large-scale, high-dimensional data from multiple sources
- 3+ years of experience in process improvement, business process re-engineering, or operational excellence, with a focus on AI/ML applications
- Familiarity with Lean, Six Sigma, Agile, or other process improvement methodologies
Responsibilities
- Analyze existing business processes and workflows to identify inefficiencies, bottlenecks, and opportunities for automation and improvement
- Design, develop, and implement AI/LLM-based solutions to streamline processes, automate repetitive tasks, and improve decision-making
- Collaborate with cross-functional teams—including operations, engineering, legal, and product—to define project requirements, deploy AI solutions, and manage change
- Monitor and troubleshoot automation performance, ensuring accuracy and compliance
- Train and support team members on new automation tools, workflows, and best practices to maximize adoption and impact
- Ensure the ethical use of AI, including data privacy compliance and bias mitigation
- Stay up-to-date with the latest advancements in AI, machine learning, and LLM technologies to introduce new methodologies and tools
Other
- Bachelor’s degree in Computer Science, Engineering, Data Science, Business Administration, or equivalent industry experience
- Experience navigating ambiguity and achieving outcomes in fast-paced environments
- Experience contributing to team-level goal setting and strategy development
- Demonstrated track record of delivering impact through data-driven analysis, both directly and by influencing cross-functional partners
- Project management experience and ability to communicate effectively with stakeholders at all organizational levels
- Experience solving complex problems by evaluating alternative solutions, assessing tradeoffs, and integrating different perspectives to determine the best approach
- Experience in change management and leading organizational transformation
