Analyst Data Governance & Mgmt

Description

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.

Responsibilities

Roles & Responsibilities:

Manage end-to-end ownership of enterprise data assets that are used in making business decisions for millions of customers and billions of transactions across the globe. Develop strong subject matter expertise on both internal and external data assets. Act as the custodian for data standardization, data governance, data quality and data ownership, while ensuring compliance and security of the data. Build strong relationships, operate effectively within large cross-functional teams, and influence business stakeholders to drive change. The selected candidate will be allocated to one of these roles depending on the fitment and business needs. The role will entail some of the below responsibilities: -

• Develop robust data management, data integration and data quality processes by leveraging best-in-class technology
• Innovate with a focus on developing newer and better approaches using big data technologies
• Find innovative techniques to bring scale to critical initiatives and enhance productivity
• Manage world class data products by partnering with enterprise teams including Technology, Design and End-Users to enable building of new capabilities, modules, and maintenance of existing assets.

Qualifications
Minimum Qualifications:

• Strong analytical and problem-solving skills
• 0-3 years of relevant experience
• Effective communication and interpersonal skills
• Ability to solve unstructured problems
• Ability to work effectively in a team environment.
• Ability to learn quickly and work independently with complex, unstructured initiatives
• Ability to challenge the status quo and drive innovation
• Good Programming and Gen AI skills is preferred. Knowledge of Google cloud, SQL & Python are a plus