Senior Analyst - Data Governance (GenAI)

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 Senior Analyst, Data Governance & 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.

• Execute data risk management activities across business processes, systems, and data assets within USCS, including risk assessments, issue management, and remediation efforts.

• Partner with Business, Technology, Risk, and Data Office teams to identify and mitigate data risks, proactively resolve dependencies, and drive shared outcomes.

• Analyze data, controls, and processes to identify risk trends, control gaps, root causes, and opportunities to strengthen the control environment.

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

• Develop reporting and insights that communicate data risk, control performance, and business impact to support informed decision-making.

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

• Maintain documentation and evidence supporting effective risk management, governance, and regulatory compliance.

• Identify and apply opportunities to use Artificial Intelligence (AI), Generative AI, and automation to simplify processes, improve efficiency, and deliver measurable business and risk management outcomes.

 

• 1–3 years of experience in analytics, risk management, controls, technology, operations, or a related discipline.

• Strong analytical and problem-solving skills with the ability to identify trends, risks, root causes, and actionable insights from data.

• Strong written and verbal communication skills, including the ability to explain business and risk impacts clearly.

• Demonstrated ability to manage multiple priorities, proactively identify dependencies, and collaborate across teams to deliver results.

• Understanding of Artificial Intelligence (AI), Generative AI, and automation, including their practical application to business processes, data governance, or risk management.

Preferred Qualifications:

 

• Bachelor's degree in Information Systems, Data Analytics, Computer Science, Business, Risk Management, Finance, or a related field.

• Experience in financial services or another highly regulated industry.

• Familiarity with data management concepts including data quality, lineage, metadata, stewardship, and governance.

• Knowledge of enterprise risk, operational risk, issue management, or control frameworks.

• Experience with reporting, analytics, or data visualization tools, including SQL and programming languages such as Python, Java, or Shell scripting.

• Familiarity with big data technologies, cloud-based data platforms, or modern data ecosystems, including Google Cloud Platform (GCP) and BigQuery.