Senior Analyst Data Governance & Management
Sunrise, FL, United States
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s listing: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
Read the full posting
What you’ll work on
Full postingRun data risk assessments, issue management, and remediation across key business domains
Analyze data and controls to find risk trends, control gaps, and fixes
Support implementation and monitoring of data controls for quality and lineage
Perform root cause analysis on business, data, and control issues
Build reporting and insights on data risk and control performance
From the employer’s posting
Execute risk assessments, issue management activities, and remediation efforts across critical business domains.
Analyze data, controls, and processes to identify risk trends, control gaps, and remediation opportunities.
Support implementation and monitoring of data controls that improve data quality, stewardship, lineage, and policy adherence.
Perform root cause analysis on complex business, data, operational, and control issues to identify underlying drivers and support effective remediation.
Develop reporting and insights that support effective monitoring of data risk, control performance, and governance objectives.
What you’ll bring
All qualificationsPreferred experience
- 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.
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
- Familiarity with cloud-based data platforms, data architecture, or modern data ecosystems. - Experience with Generative AI, Agentic AI, Python, and/or Workflow Automation Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
- Experience with reporting, dashboarding, or data visualization tools. - Basic understanding of SQL, relational databases, and/or ETL/Data Engineering. - Familiarity with cloud-based data platforms, data architecture, or modern data ecosystems.
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier listing.
- Status in our records
- Live
- First seen by us
- Oct 15, 2026 · 6 days ago
- Recorded sightings
- 40
- Last seen by us
- Oct 21, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
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 Senior 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.
- Execute data risk management activities that support effective governance of business processes, systems, and data assets across USCS.
- Partner with Business, Technology, Risk, and Data Office teams to identify, assess, and mitigate data risks.
- Analyze data, controls, and processes to identify risk trends, control gaps, and remediation opportunities.
- Support implementation and monitoring of data controls that improve data quality, stewardship, lineage, and policy adherence.
- Execute risk assessments, issue management activities, and remediation efforts across critical business domains.
- Develop reporting and insights that support effective monitoring of data risk, control performance, and governance objectives.
- Perform root cause analysis on complex business, data, operational, and control issues to identify underlying drivers and support effective remediation.
- Support identification and documentation of critical data elements, data flows, and key data dependencies.
- Maintain documentation and evidence that supports effective risk management, governance, and regulatory compliance activities.
- Translate data risk and control findings into clear, actionable recommendations for Business and Technology partners, supporting informed risk decisions and sustainable remediation.
- Contribute to the ongoing evolution of data governance and data risk management practices across USCS.
- Leverage AI and automation to improve efficiency
- 1-3 years of experience in data management, analytics, risk management, controls, technology, AI, operations, or a related discipline.
- Strong analytical and problem-solving skills with the ability to identify trends, risks, and actionable insights from data.
- Strong written and verbal communication skills.
- Demonstrated ability to manage multiple priorities and work effectively in a collaborative environment.
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, dashboarding, or data visualization tools.
- Basic understanding of SQL, relational databases, and/or ETL/Data Engineering.
- Familiarity with cloud-based data platforms, data architecture, or modern data ecosystems.
- Experience with Generative AI, Agentic AI, Python, and/or Workflow Automation
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Sunrise, FL, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- Experience with Generative AI, Agentic AI, Python, and/or Workflow Automation Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
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