Manager-Compliance

Listing expiry: 19 October 2026

About the role

Role Overview

The role is part of the International Compliance team, which operates as a second line of defense across American Express products and portfolio segments. It focuses on assessing compliance with applicable laws, regulations, and internal policies while providing technical and analytical support for Project Fusion, including user acceptance testing (UAT), data analysis, tracking, and reporting. The position combines compliance risk management with analytics, artificial intelligence, machine learning, and software development to strengthen compliance operations, improve efficiency, and support data-driven decision-making.

Key Responsibilities

• Manage and perform day-to-day analytics activities and generate insights across multiple compliance engagements.
• Support the Director in establishing an analytics-, artificial intelligence-, and machine learning-based operating model for the compliance function.
• Conduct planning meetings with key business owners and Line of Business Compliance partners to identify applicable regulations, risks, and controls and define critical analytics programs and initiatives.
• Plan, oversee, execute, and document analytics deliverables.
• Update Compliance Management on engagement progress and escalate significant issues as appropriate.
• Ensure compliance gaps identified through analytics-driven approaches are documented properly and that associated output datasets are stored appropriately for future reference.
• Continuously improve the compliance organization's data landscape across testing and reporting scenarios while maintaining data quality and timeliness.
• Research, develop, govern, and deploy AI, machine learning, and natural language processing models across business scenarios to improve efficiency and processes.
• Design and implement advanced generative models using large language models (LLMs).
• Take end-to-end ownership of software development activities.
• Research and remain up to date with developments in generative AI and LLMs.
• Develop and maintain code libraries, tools, and frameworks supporting generative AI development.
• Participate in code reviews and maintain high software quality standards.
• Participate in the complete software development lifecycle, including design, testing, deployment, and maintenance.
• Apply analytical methods to identify potential compliance issues, determine root causes, and develop feasible operational solutions.
• Translate technical information into understandable terms for stakeholders at different organizational levels.

Qualifications & Experience

• 6-8 years of industry experience, with 4 years of experience in applied machine learning, data science, and big data technologies.
• Experience developing AI/ML analytics applications, such as OTA, predictive maintenance, and recommendation systems.
• Practical experience with relevant AI technology stacks, toolchains, data collection, synthetic data, and simulators, including technologies such as PyTorch, Kafka, Apache Spark, Python, and Java.
• Experience with MLOps and cloud machine-learning platforms such as SageMaker and Databricks.
• Working knowledge of the laws, rules, and regulations governing American Express businesses.
• Proven ability to lead others effectively.
• Strong analytical skills and the ability to identify compliance issues, investigate root causes, and recommend operational solutions.
• Strong collaboration skills and the ability to work in a matrix environment and on cross-functional teams.
• Experience with production-grade machine learning workflows.
• Strong verbal and written communication skills and the ability to communicate effectively with stakeholders at all organizational levels.
• Ability to work independently or collaboratively, with self-motivation, dependability, adaptability, and attention to detail.
• Strong presentation and project management skills.
• Practical experience with SQL, Hive/HQL, Python, Jupyter notebooks, Spark, and various databases, including the accurate manipulation of large datasets.
• Familiarity with high-density file systems and big data technologies such as Hadoop, including tools for importing, exporting, and working with big data environments.
• Proficiency in statistical methods and analysis.
• Experience with Teradata and UNIX is desirable.
• Knowledge of IBM mainframe systems is desirable but not required.
• Strong interpersonal, leadership, change management, presentation, and communication skills.
• Strong computer skills and proficiency in Microsoft Word, Excel, Visio, and PowerPoint.
• Knowledge of machine learning algorithms and techniques, particularly generative models, natural language processing, and computer vision.
• Familiarity with cloud computing and distributed systems, particularly AWS or Google Cloud.
• Experience working with large datasets and data processing pipelines.

Additional Details

• The International Compliance team provides second-line-of-defense oversight across products and portfolio segments.
• The role includes technical and analytical support for Project Fusion, including UAT, data analysis, tracking, and reporting.
• Employment is subject to successful completion of a background verification check, in accordance with applicable laws and regulations.
• The employer describes benefits that may include competitive base salary, bonus incentives, financial well-being and retirement support, medical and insurance benefits, flexible working arrangements depending on the role and business needs, parental leave, wellness resources, confidential counseling, and career development and training opportunities. Availability depends on location and applicable arrangements.
• The employer is an equal opportunity employer and makes employment decisions without regard to characteristics protected by applicable law.