Manager - Data Governance & Management

The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company.

As a Data Governance & Management Senior Manager, you are part of a team responsible for enabling compliance with the Enterprise Data Management Operating Policy within the Enterprise Technology Services (ETS) business unit. You will help establish and mature data governance capabilities that enable trusted, high-quality, well-governed data to support business operations, regulatory compliance, analytics, and AI-driven innovation.

You and your team are responsible for identifying critical data, maintaining business metadata and data definitions, classifying data, supporting data sourcing and usage requests, assessing data risk, measuring Data Risk Controls, and ensuring Data Incidents are effectively remediated. You will partner across business units, technology organizations, product teams, and enterprise data organizations to define and implement scalable data governance strategies that improve data quality, transparency, operational efficiency, and regulatory compliance.

You will also champion the adoption of AI-enabled governance capabilities and intelligent automation, identifying opportunities to automate manual governance activities, improve data observability, accelerate issue resolution, and enhance decision-making while ensuring responsible AI practices and appropriate governance controls.

• Support ETS by identifying data risk, performing root-cause analysis of data incidents, and driving timely remediation of audit findings, regulatory observations, and control deficiencies.

• Develop deep expertise in the Enterprise Data Management Operating Policy and translate enterprise standards into practical governance processes and operating procedures for ETS.