Job Description

This role is part of the Data Issue Management & Risk Monitoring function within the Finance Data Office organization and supports the Director, Data Issue Management & Risk Monitoring function

This role will support the leadership in establishing and managing a comprehensive process for identifying, tracking, remediating, and monitoring data issues and risks that impact financial integrity, reporting, and regulatory compliance. The ideal candidate will bring experience in data governance, issue and risk management, and a strong background in financial data within a highly regulated environment

Responsibilities

• Support the implementation of the Data Issue Management framework, including intake, assessment, classification, prioritization, root cause analysis, remediation, and closure validation.
• Continuous monitoring of data risks and emerging data issues across key finance datasets/reports.
• Implement risk-based monitoring protocols, including early warning indicators, risk heat maps, and control effectiveness metrics.
• Maintain a centralized inventory of open and historical data issues, ensuring accurate documentation, traceability, and audit readiness.
• Produce regular reporting and dashboards for senior leadership, risk committees, and regulatory stakeholders, highlighting risk concentrations, issue trends, and remediation effectiveness.

Qualifications

• 3 -4 years of experience in data quality / data governance is preferred.
• Good exposure on US Regulatory Reports like FRY-9C, FRY 14A/Q/A etc. are preferred.
• Strong relationship skills and communication are essential as this analyst will partner with multiple groups e.g., Business process owners, Technologies, and Enterprise Data Governance.
• Self-motivated and proactive, ability to manage multiple assignments and projects concurrently.
• Strong analytical and problem-solving skills. Ability to collect business requirements and use them to guide implementation of a technical solution.
• Strong skills on MS Excel, PowerPoint, Power Automate.
• Good knowledge on data quality, data governance, and reporting tools e.g., Collibra, SQL, Power BI, Tableau, Service Now - are preferred.
• Exposure to GenAI and AI Agents are preferred.
• Familiarity with Agile (Rally/Jira) or SAFE project methodologies.
• Bachelor's degree in finance, Business, Information Systems, or related field.

About Us

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. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you'll experience our 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.

About the Team

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.