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Senior Analyst Data Governance & Management

American Express
Sunrise, USA
Full-time
Senior · 1–3 years experience
Hybrid
Discovered 1 weeks ago
pythonsql

Full Job Posting

Qualifications

  • 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.

Responsibilities

  • 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

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