Run data risk assessments, issue management and remediation across USCS
Analyze data and controls to find risk trends, control gaps and root causes
Support data controls for quality, stewardship, lineage and policy adherence
Build reporting that shows data risk, control performance and business impact
Document critical data elements, data flows and key dependencies
From the employer’s posting
Execute data risk management activities across business processes, systems, and data assets within USCS, including risk assessments, issue management, and remediation efforts.
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.
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.
Qualification wording
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.
Education & alternatives
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.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Java
Python
SQL
BigQuery
GCP
Where the posting names them
- 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.
- 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.
About 76,800 in 2025, up 2% from the year before.Annual report (SEC Form 10-K)
Company
Listed as AXP.
H-1B visas
55 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Governance roles
New Data Governance postings at the employers we follow are up 196% over the last 6 weeks compared with the 6 before.
August 17Last week
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Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Governance, by the work the posting describes.
Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.
Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.
A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.
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.