Analyst - Data Governance & Management

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

How will you make an impact in this role?

In U.S. Consumer Services (USCS), our product is Membership—delivering benefits and services that are essential to our Card Members across travel, dining, entertainment, and retail. We compete by providing a differentiated Membership experience that drives loyalty and long-term growth. USCS brings this to life through our premium, cobrand, cash back, and lending portfolios, Membership Rewards, Travel & Lifestyle Services, the Centurion Lounge network, Global Dining, U.S. Consumer Banking, Amex Offers, Amex Ads, and best-in-class marketing programs.

The USCS Data Office is responsible for advancing data governance and data risk management across USCS. The team partners across Business, Technology, Risk, and Enterprise Data Management to strengthen the control environment, improve data quality, and support effective management of data as a strategic asset.

The Analyst, Data Risk Management will support execution of a scalable, preventative, and insight-driven approach to data risk management across USCS. Working closely with partners across Business, Technology, Risk, and the Data Office, this role will help identify, assess, monitor, and mitigate data risks while contributing to control implementation, issue remediation, and continuous improvement efforts that strengthen the overall data control environment.

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Execute data risk management activities that support effective governance of business processes, systems, and data assets across USCS.

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Partner effectively with Business, Technology, Risk, and Data Office teams to identify, assess, and mitigate data risks while proactively resolving dependencies and escalating risks as appropriate.

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Analyze data, controls, and processes to identify risk trends, control gaps, remediation opportunities, and broader business impacts.

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Support implementation and monitoring of data controls that improve data quality, stewardship, lineage, and policy adherence.

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Contribute to risk assessments, issue management activities, and remediation efforts across critical business domains.

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Develop reporting and insights that clearly communicate data risk, control performance, business impact, and governance objectives.

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Demonstrate strong problem-solving skills by performing root cause analysis on complex business, data, and operational issues to identify underlying drivers of data, process, operational, or control issues.

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Support identification and documentation of critical data elements, data flows, and key data dependencies.

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Maintain documentation and evidence that supports effective risk management, governance, and regulatory compliance activities.

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Contribute to continuous improvement of data governance and data risk management practices by sharing ideas, identifying opportunities, and helping improve how the team works.

Minimum Qualifications

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• 1–3 years of experience in analytics, risk management, controls, technology, operations, or a related discipline.
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• Strong analytical and problem-solving skills with the ability to identify trends, risks, actionable insights, and broader business impacts from data.
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• Demonstrated ability to work collaboratively across teams, proactively identify dependencies, and communicate business and risk impacts effectively.
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• Strong written and verbal communication skills.
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• Demonstrated ability to manage multiple priorities and work effectively in a collaborative environment.

Preferred Qualifications

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• Bachelor's degree in Information Systems, Data Analytics, Computer Science, Business, Risk Management, Finance, or a related field.
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• Experience in financial services or another highly regulated industry.
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• Familiarity with data management concepts including data quality, lineage, metadata, stewardship, and governance.
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• Knowledge of enterprise risk, operational risk, issue management, or control frameworks.
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• Experience with reporting, dashboarding, or data visualization tools.
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• Familiarity with cloud-based data platforms, data architecture, or modern data ecosystems.
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• Experience with SQL and programming languages such as Python, Java, or Shell scripting to analyze data, automate processes, or support data risk management activities.
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• Exposure to big data technologies and cloud-based data platforms such as Google Cloud Platform (GCP) and BigQuery.
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• Experience working across business, technology, or risk teams to deliver shared outcomes.