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Salary
≈ $10k – $21k per year (Estimated)
Location
In office (Gurgaon)

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 13, 2026. American Express scores A on the Alion truth index.

Overview
Company
Impact
Profile match
American Express is a New York financial services company founded in 1850 as an express freight business that became a payments network and card issuer. Unlike the four-party networks it competes with, it issues most of its own cards and operates its own network, which lets it earn merchant discount revenue as well as interest and annual fees, and supports a premium rewards proposition built on travel and lounge access. Its business spans consumer and small business cards, corporate payments, merchant acquiring and travel services, and it is a component of the Dow Jones Industrial Average.

Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry lowest credit loss rates. It utilizes an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending, and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management, enable commerce and drive innovation.

A single decision can have many outcomes. And when that decision affects millions of card members and merchants, it needs to be the right one. That is where our Product teams come in. Product teams are the backbone of all financial services operations at American Express-it impacts every aspect of the company. As a part of this team, you will work with the industry’s best talent to create smart and innovative strategies that advance our market share and the way we do business. If you are interested in getting to know all areas of our business and can translate our business needs into remarkable solutions, you should consider a career in Product teams.

As a Data Steward Delegate, you are part of a team responsible for supporting activities for the day-to-day compliance with the Enterprise Data Management Operating Policy within your domains/business units. You and your team are responsible for identifying critical data, maintaining data definitions, classifying data, supporting data sourcing / usage requests, measuring Data Risk Controls, and confirming Data Incidents are remediated. You will partner across various business units, technology teams, and product/platform teams to define and implement the data governance strategy, supervising and leading data quality, resolving data/platform issues, and driving consistency, usability, and governance of specific product data across the enterprise.

  • Responsible for supporting the Data Steward in identifying data incidents, performing root-cause analysis of data incidents, and driving remediation of audit and regulatory feedback.
  • Develop advanced knowledge on the Enterprise Data Management Operating Policy to support the Data Steward in the execution of their role.
  • Responsible for holistic platform data quality monitoring, including but not limited to key reports.
  • Assist in the identification of data risk, working with upstream data providers, downstream business partners, as well as technology teams.
  • Support the Data Steward in the establishment, maintenance, and testing of controls to manage data risk within their business unit.
  • Coordinate with Business Units and other Business Unit Data Offices to ensure System level Lineage is documented completely and accurately
  • Build advanced platform expertise to influence the identification of critical data elements and contribute to the roadmap to govern the data elements.
  • Responsible to partner with the Data Steward in developing and managing the data management roadmap.
  • Collaborate with and influence product managers to ensure all new use cases are managed according to policy.
  • 0-2 years of experience in data quality management, data risk management, control management, or related roles.
  • Strong communication, collaboration, stakeholder management skills and ability to influence and engage at multiple levels and cross functionality.
  • Intermediate understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience.
  • Preferred Hands-on experience using AI tools such as ChatGPT, Microsoft Copilot, Github Co-pilot - or similar generative AI platforms to improve productivity and drive innovation.
  • Bachelor’s degree in finance, Engineering, Mathematics, Statistics, Computer Science, or other similar fields.
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